B. John Oommen

According to our database1, B. John Oommen authored at least 344 papers between 1981 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2003, "For contributions to automata learning and syntactic pattern recognition.".

Timeline

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Bibliography

2018
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques.
Pattern Recognition, 2018

On enhancing the object migration automaton using the Pursuit paradigm.
J. Comput. Science, 2018

On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata.
J. Comput. Science, 2018

Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games.
Appl. Intell., 2018

Challenging state-of-the-art move ordering with Adaptive Data Structures.
Appl. Intell., 2018

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm.
IEEE Access, 2018

A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids.
IEEE Access, 2018

On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata.
IEEE Access, 2018

The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

On Addressing the Challenges of Complex Stochastic Games Using "Representative" Moves.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments.
IEEE Trans. Cybernetics, 2017

The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality.
Pattern Anal. Appl., 2017

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search.
Inf. Sci., 2017

"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids.
Inf. Sci., 2017

Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information.
Eng. Appl. of AI, 2017

A novel abstraction for swarm intelligence: particle field optimization.
Autonomous Agents and Multi-Agent Systems, 2017

Partitioning in signal processing using the object migration automaton and the pursuit paradigm.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

A Higher-Fidelity Frugal Quantile Estimator.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem.
IEEE Trans. Cybernetics, 2016

On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures.
Trans. Computational Collective Intelligence, 2016

Text Classification Using "Anti"-Bayesian Quantile Statistics-Based Classifiers.
Trans. Computational Collective Intelligence, 2016

Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments.
Pattern Recognition, 2016

A formal proof of the 𝜀-optimality of discretized pursuit algorithms.
Appl. Intell., 2016

Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell., 2016

Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata.
Proceedings of the 8th IFIP International Conference on New Technologies, 2016

"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

On the Online Classification of Data Streams Using Weak Estimators.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Challenging Established Move Ordering Strategies with Adaptive Data Structures.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

On the Foundations of Multinomial Sequence Based Estimation.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

A Cluster Analysis of Stock Market Data Using Hierarchical SOMs.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing, 2015

Self Organizing Maps Whose Topologies Can Be Learned With Adaptive Binary Search Trees Using Conditional Rotations.
CoRR, 2015

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Novel AI Strategies for Multi-Player Games at Intermediate Board States.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Pattern Recognition using the TTOCONROT.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Enhancing History-Based Move Ordering in Game Playing Using Adaptive Data Structures.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Text Classification Using Novel "Anti-Bayesian" Techniques.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Solving Stochastic Root-Finding with adaptive d-ary search.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Space and depth-related enhancements of the history-ADS strategy in game playing.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Particle Field Optimization: A New Paradigm for Swarm Intelligence.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
IEEE Trans. Cybernetics, 2014

On the Existence and Heuristic Computation of the Solution for the Commons Game.
Trans. Computational Collective Intelligence, 2014

Corrigendum to three papers that deal with "Anti"-Bayesian Pattern Recognition [Pattern Recognition].
Pattern Recognition, 2014

"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family.
Pattern Recognition, 2014

Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations.
Pattern Recognition, 2014

Topology-oriented self-organizing maps: a survey.
Pattern Anal. Appl., 2014

Logistic Neural Networks: Their chaotic and pattern recognition properties.
Neurocomputing, 2014

A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell., 2014

Fast BMU Search in SOMs Using Random Hyperplane Trees.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks.
Proceedings of the Information Sciences and Systems 2014, 2014

Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms.
Proceedings of the Modern Advances in Applied Intelligence, 2014

A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks.
Proceedings of the Modern Advances in Applied Intelligence, 2014

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns.
IEEE Trans. Cybernetics, 2013

Modeling the "Learning Process" of the Teacher in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Cybernetics, 2013

Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties.
Trans. Computational Collective Intelligence, 2013

Order statistics-based parametric classification for multi-dimensional distributions.
Pattern Recognition, 2013

The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria.
Pattern Recognition, 2013

On achieving semi-supervised pattern recognition by utilizing tree-based SOMs.
Pattern Recognition, 2013

On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases.
Pattern Anal. Appl., 2013

The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents.
IJPRAI, 2013

On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata.
Appl. Intell., 2013

On Enhancing Recent Multi-player Game Playing Strategies Using a Spectrum of Adaptive Data Structures.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

On Applying Adaptive Data Structures to Multi-Player Game Playing.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

Classification of Multi-dimensional Distributions Using Order Statistics Criteria.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

On Achieving Near-Optimal "Anti-Bayesian" Order Statistics-Based Classification for Asymmetric Exponential Distributions.
Proceedings of the Computer Analysis of Images and Patterns, 2013

A Novel Border Identification Algorithm Based on an "Anti-Bayesian" Paradigm.
Proceedings of the Computer Analysis of Images and Patterns, 2013

Ultimate Order Statistics-Based Prototype Reduction Schemes.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

A New Paradigm for Pattern Classification: Nearest Border Techniques.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Modeling a Teacher in a Tutorial-like System Using Learning Automata.
Trans. Computational Collective Intelligence, 2012

On the Pattern Recognition and Classification of Stochastically Episodic Events.
Trans. Computational Collective Intelligence, 2012

Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior.
Simulation, 2012

On using prototype reduction schemes to optimize locally linear reconstruction methods.
Pattern Recognition, 2012

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators.
JIPS, 2012

The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network.
Intelligent Decision Technologies, 2012

Service selection in stochastic environments: a learning-automaton based solution.
Appl. Intell., 2012

Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

A Stochastic Search on the Line-Based Solution to Discretized Estimation.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Optimal "Anti-Bayesian" Parametric Pattern Classification for the Exponential Family Using Order Statistics Criteria.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

A novel Stochastic Discretized Weak Estimator operating in non-stationary environments.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

A Fast Heuristic Solution for the Commons Game.
Proceedings of the Distributed Computing and Artificial Intelligence, 2012

Optimal "Anti-Bayesian" Parametric Pattern Classification Using Order Statistics Criteria.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments.
Wireless Personal Communications, 2011

Anomaly Detection in Dynamic Systems Using Weak Estimators.
ACM Trans. Internet Techn., 2011

Imposing tree-based topologies onto self organizing maps.
Inf. Sci., 2011

Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem.
Eng. Appl. of AI, 2011

On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Anomaly detection using weak estimators.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Using Artificial Intelligence Techniques for Strategy Generation in the Commons Game.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

On the analysis of a new Markov chain which has applications in AI and machine learning.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Tracking the Preferences of Users Using Weak Estimators.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Semi-Supervised Classification Using Tree-Based Self-Organizing Maps.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

A New Frontier in Novelty Detection: Pattern Recognition of Stochastically Episodic Events.
Proceedings of the Intelligent Information and Database Systems, 2011

2010
Modeling a Student's Behavior in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Modeling a Student-Classroom Interaction in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Random Early Detection for Congestion Avoidance in Wired Networks: A Discretized Pursuit Learning-Automata-Like Solution.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Solving Multiconstraint Assignment Problems Using Learning Automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Fault-tolerant routing in adversarial mobile ad hoc networks: an efficient route estimation scheme for non-stationary environments.
Telecommunication Systems, 2010

Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata.
IEEE Trans. Computers, 2010

A survey on statistical disclosure control and micro-aggregation techniques for secure statistical databases.
Softw., Pract. Exper., 2010

Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes.
Pattern Recognition, 2010

Peptide classification using optimal and information theoretic syntactic modeling.
Pattern Recognition, 2010

Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem.
Appl. Intell., 2010

Modeling a Domain in a Tutorial-like System Using Learning Automata.
Acta Cybern., 2010

Language Detection and Tracking in Multilingual Documents Using Weak Estimators.
Proceedings of the Structural, 2010

On simulating episodic events against a background of noise-like non-episodic events.
Proceedings of the SummerSim '10, 2010

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

A Learning Automata Based Solution to Service Selection in Stochastic Environments.
Proceedings of the Trends in Applied Intelligent Systems, 2010

A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Potential AI Strategies to Solve the Commons Game: A Position Paper.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Cybernetics and Learning Automata.
Proceedings of the Springer Handbook of Automation, 2009

Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology.
IEEE Trans. Neural Networks, 2009

On using prototype reduction schemes to enhance the computation of volume-based inter-class overlap measures.
Pattern Recognition, 2009

Estimation of distributions involving unobservable events: the case of optimal search with unknown Target Distributions.
Pattern Anal. Appl., 2009

An efficient pursuit automata approach for estimating stable all-pairs shortest paths in stochastic network environments.
Int. J. Communication Systems, 2009

On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Learning Automata Based Intelligent Tutorial-like System.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling.
Proceedings of the Next-Generation Applied Intelligence, 2009

Anomaly Detection in Dynamic Social Systems Using Weak Estimators.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

An adaptive learning-like solution of random early detection for congestion avoidance in computer networks.
Proceedings of the 7th IEEE/ACS International Conference on Computer Systems and Applications, 2009

2008
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees.
Int. J. Communication Systems, 2008

Spikes annihilation in the Hodgkin-Huxley neuron.
Biological Cybernetics, 2008

Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network.
Proceedings of the Structural, 2008

Modeling and simulating a disease outbreak by learning a contagion parameter-based model.
Proceedings of the 2008 Spring Simulation Multiconference, 2008

Large scale modeling of the piriform cortex for analyzing antiepileptic effects.
Proceedings of the 2008 Spring Simulation Multiconference, 2008

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction.
Proceedings of the Progress in Pattern Recognition, 2008

An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes.
Proceedings of the Advances in Artificial Intelligence , 2008

Enhancing Micro-Aggregation Technique by Utilizing Dependence-Based Information in Secure Statistical Databases.
Proceedings of the Information Security and Privacy, 13th Australasian Conference, 2008

2007
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007

Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007

Goal-oriented optimal subset selection of correlated multimedia streams.
TOMCCAP, 2007

Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach.
IEEE Trans. Computers, 2007

On the estimation of independent binomial random variables using occurrence and sequential information.
Pattern Recognition, 2007

On using prototype reduction schemes to optimize dissimilarity-based classification.
Pattern Recognition, 2007

Breadth-first search strategies for trie-based syntactic pattern recognition.
Pattern Anal. Appl., 2007

Periodicity and stability issues of a chaotic pattern recognition neural network.
Pattern Anal. Appl., 2007

A Novel Framework for Self-Organizing Lists in Environments with Locality of Reference: Lists-on-Lists.
Comput. J., 2007

Using learning automata to model a student-classroom interaction in a tutorial-like system.
Proceedings of the IEEE International Conference on Systems, 2007

Using learning automata to model the behavior of a teacher in a tutorial-like system.
Proceedings of the IEEE International Conference on Systems, 2007

Stochastic Point Location in Non-stationary Environments and Its Applications.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

On Using Learning Automata to Model a Student's Behavior in a Tutorial-like System.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

A Novel Method for Micro-Aggregation in Secure Statistical Databases Using Association and Interaction.
Proceedings of the Information and Communications Security, 9th International Conference, 2007

Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
Proceedings of the Advances in Brain, 2007

On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Some Analysis on the Network of Bursting Neurons: Quantifying Behavioral Synchronization.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

The Pursuit Automaton Approach for Estimating All-Pairs Shortest Paths in Dynamically Changing Networks.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks.
IEEE Trans. Computers, 2006

Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments.
Pattern Recognition, 2006

Prototype reduction schemes applicable for non-stationary data sets.
Pattern Recognition, 2006

A novel look-ahead optimization strategy for trie-based approximate string matching.
Pattern Anal. Appl., 2006

A fast and efficient nearly-optimal adaptive Fano coding scheme.
Inf. Sci., 2006

A Fault-Tolerant Routing Algorithm for Mobile Ad Hoc Networks Using a Stochastic Learning-Based Weak Estimation Procedure.
Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, 2006

Lists on Lists: A Framework for Self-organizing Lists in Environments with Locality of Reference.
Proceedings of the Experimental Algorithms, 5th International Workshop, 2006

On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables.
Proceedings of the Structural, 2006

On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
Proceedings of the Structural, 2006

An Application of a Game of Discrete Generalised Pursuit Automata to Solve a Multi-Constraint Partitioning Problem.
Proceedings of the IEEE International Conference on Systems, 2006

A Fixed Structure Learning Automaton Micro-aggregation Technique for Secure Statistical Databases.
Proceedings of the Privacy in Statistical Databases, 2006

A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem.
Proceedings of the Intelligent Information Processing and Web Mining, 2006

On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

On Enhancing Query Optimization in the Oracle Database System by Utilizing Attribute Cardinality Maps.
Proceedings of the Enterprise Information Systems, 8th International Conference, 2006

On Utilizing Attribute Cardinality Maps to Enhance Query Optimization in the Oracle Database System.
Proceedings of the ICEIS 2006, 2006

Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Turning Lights Out with DQ-Learning.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

On Optimizing the k-Ward Micro-aggregation Technique for Secure Statistical Databases.
Proceedings of the Information Security and Privacy, 11th Australasian Conference, 2006

The averaged mappings problem: statement, applications, and approximate solution.
Proceedings of the 44st Annual Southeast Regional Conference, 2006

2005
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2005

On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Self-Adjusting of Ternary Search Tries Using Conditional Rotations and Randomized Heuristics.
Comput. J., 2005

A formal analysis of why heuristic functions work.
Artif. Intell., 2005

Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions.
Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005

Efficient Adaptive Data Compression Using Fano Binary Search Trees.
Proceedings of the Computer and Information Sciences, 2005

New Algorithms for Maintaining All-Pairs Shortest Paths.
Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC 2005), 2005

A Fixed-Structure Learning Automaton Solution to the Stochastic Static Mapping Problem.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies.
Proceedings of the Pattern Recognition and Data Mining, 2005

Neural Network-Based Chaotic Pattern Recognition - Part 2: Stability and Algorithmic Issues.
Proceedings of the Computer Recognition Systems, 2005

A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matching.
Proceedings of the Computer Recognition Systems, 2005

Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

On using conditional rotations and randomized heuristics for self-organizing ternary search tries.
Proceedings of the 43nd Annual Southeast Regional Conference, 2005

2004
Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods.
Pattern Recognition, 2004

A formal approach to using data distributions for building causal polytree structures.
Inf. Sci., 2004

A nearly-optimal Fano-based coding algorithm.
Inf. Process. Manage., 2004

GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks.
Int. J. Communication Systems, 2004

A New Family of Weak Estimators for Training in Non-stationary Distributions.
Proceedings of the Structural, 2004

Dictionary-Based Syntactic Pattern Recognition Using Tries.
Proceedings of the Structural, 2004

On Designing Pattern Classifiers Using Artificially Created Bootstrap Samples.
Proceedings of the Pattern Recognition in Information Systems, 2004

Recent Results on Learning from Stochastic Teachers and Compulsive Liars/Con-Men.
Proceedings of the Pattern Recognition in Information Systems, 2004

Stochastic Sorting Using Deterministic Consecutive and Leader Filters.
Proceedings of the International Conference on Modeling, 2004

Generalized pursuit learning algorithms for shortest path routing tree computation.
Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC 2006), June 28, 2004

Stochastic Learning Automata-Based Dynamic Algorithms for the Single Source Shortest Path Problem.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data.
Proceedings of the Advances in Information Systems, Third International Conference, 2004

Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

Deterministic Majority filters applied to stochastic sorting.
Proceedings of the 42nd Annual Southeast Regional Conference, 2004

2003
Benchmarking attribute cardinality maps for database systems using the TPC-D specifications.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003

A Kohonen-like decomposition method for the Euclidean traveling salesman problem-KNIES_DECOMPOSE.
IEEE Trans. Neural Networks, 2003

On optimal pairwise linear classifiers for normal distributions: the d-dimensional case.
Pattern Recognition, 2003

Enhancing prototype reduction schemes with LVQ3-type algorithms.
Pattern Recognition, 2003

A brief taxonomy and ranking of creative prototype reduction schemes.
Pattern Anal. Appl., 2003

Classification Error-Rate Estimation Using New Pseudo-Sample Bootstrap Methods.
Proceedings of the Pattern Recognition in Information Systems, 2003

A self-organizing method for map reconstruction.
Proceedings of the NNSP 2003, 2003

A new histogram method for sparse attributes: the averaged rectangular attribute cardinality map.
Proceedings of the 1st Intenational Symposium on Information and Communication Technologies, 2003

On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Discretized learning automata solutions to the capacity assignment problem for prioritized networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Generalized pursuit learning schemes: new families of continuous and discretized learning automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Enhanced layered segment trees: a pragmatic data structure for real-time processing of geometric objects.
Pattern Recognition, 2002

On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

The Efficiency of Histogram-like Techniques for Database Query Optimization.
Comput. J., 2002

Recursive Prototype Reduction Schemes Applicable for Large Data Sets.
Proceedings of the Structural, 2002

Using Pattern Recognition Techniques to Derive a Formal Analysis of Why Heuristics Functions Work.
Proceedings of the Pattern Recognition in Information Systems, 2002

On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes.
Proceedings of the Pattern Recognition in Information Systems, 2002

Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
Continuous and discretized pursuit learning schemes: various algorithms and their comparison.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

On the Pattern Recognition of Noisy Subsequence Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Enhanced static Fano coding.
Proceedings of the IEEE International Conference on Systems, 2001

Distance Bias Adjustment Bootstrap Estimation for Bhattacharyya Error Bound in Classifiers.
Proceedings of the Pattern Recognition in Information Systems, 2001

A New Geometric Tool for Pattern Recognition - An Algorithm for Real Time Insertion of Layered Segment Trees.
Proceedings of the Advances in Pattern Recognition, 2001

Histogram Methods in Query Optimization: The Relation between Accuracy and Optimality.
Proceedings of the Database Systems for Advanced Applications, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA 2001), 18-20 April 2001, 2001

Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000
Continuous Learning Automata Solutions to the Capacity Assignment Problem.
IEEE Trans. Computers, 2000

Fast, efficient and accurate solutions to the Hamiltonian path problem using neural approaches.
Computers & OR, 2000

The Foundational Theory of Optimal Bayesian Pairwise Linear Classifiers.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

A Formalism for Building Causal Polytree Structures Using Data Distributions.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Query Result Size Estimation Using the Trapezoidal Attribute Cardinality Map.
Proceedings of the 2000 International Database Engineering and Applications Symposium, 2000

An Empirical Comparison of Histogram-Like Techniques for Query Optimization.
Proceedings of the ICEIS 2000, 2000

A Kohonen-like Decomposition Method for the Traveling Salesman Problem: KNIESDECOMPOSE.
Proceedings of the ECAI 2000, 2000

1999
Designing syntactic pattern classifiers using vector quantization and parametric string editing.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem.
Neural Networks, 1999

On Solving the Capacity Assignment Problem Using Continous Learning Automata.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Query Result Size Estimation Using a Novel Histogram-like Technique: The Rectangular Attribute Cardinality Map.
Proceedings of the 1999 International Database Engineering and Applications Symposium, 1999

Prototype Validation of the Trapezoidal Attribute Cardinality Map for Query Optimization in Database Systems.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999

On Benchmarking Attribute Cardinality Maps for Database Systems Using the TPC-D Specification.
Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

Prototype Validation of the Rectangular Attribute Cardinality Map for Query Optimization in Database Systems.
Proceedings of the BIS '99, 1999

1998
Automata learning and intelligent tertiary searching for stochastic point location.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

Discrete vector quantization for arbitrary distance function estimation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

A formal theory for optimal and information theoretic syntactic pattern recognition.
Pattern Recognition, 1998

The Noisy Subsequence Tree Recognition Problem.
Proceedings of the Advances in Pattern Recognition, 1998

A Fast Efficient Solution to the Capacity Assignment Problem Using Discretized Learning Automata.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997
String taxonomy using learning automata.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1997

Stochastic searching on the line and its applications to parameter learning in nonlinear optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1997

Pattern recognition of strings with substitutions, insertions, deletions and generalized transpositions.
Pattern Recognition, 1997

Moment-Preserving Piecewise Linear Approximations of Signals and Images.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Vector Quantization for Arbitrary Distance Function Estimation.
INFORMS Journal on Computing, 1997

On the Optimal Search Problem: The Case when the Target Distribution is Unknown.
Proceedings of 17th International Conference of the Chilean Computer Science Society (SCCC '97), 1997

Generalized Swap-with-Parent Schemes for Self-Organizing Sequential Linear Lists.
Proceedings of the Algorithms and Computation, 8th International Symposium, 1997

1996
Numerical Similarity and Dissimilarity Measures Between Two Trees.
IEEE Trans. Computers, 1996

Graph Partitioning Using Learning Automata.
IEEE Trans. Computers, 1996

The Normalized String Editing Problem Revisited.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

Optimal and Information Theoretic Syntactic Pattern Recognition for Traditional Errors.
Proceedings of the Advances in Structural and Syntactical Pattern Recognition, 1996

Probabilistic syntactic pattern recognition for traditional and generalized transposition errors.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Optimal and Information Theoretic Syntactic Pattern Recognition Involving Traditional and Transposition Errors.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1996

1995
Mixture decomposition for distributions from the exponential family using a generalized method of moments.
IEEE Trans. Systems, Man, and Cybernetics, 1995

Switching models for nonstationary random environments.
IEEE Trans. Systems, Man, and Cybernetics, 1995

String Alignment with Substitution, Insertion, Deletion, Squashing and Expansion Operations.
Inf. Sci., 1995

On Using Learning Automata for Fast Graph Partitioning.
Proceedings of the LATIN '95: Theoretical Informatics, 1995

Noisy Subsequence Recognition Using Constrained String Editing Involving Substitutions, Insertions, Deletions and Generalized Transpositions.
Proceedings of the Image Analysis Applications and Computer Graphics, 1995

1994
Constrained Tree Editing.
Inf. Sci., 1994

A New Technique for Enhancing Linked-List Data Retrieval: Reorganize Data Using Artificially synthesized Queries.
Comput. J., 1994

1993
Adaptive learning mechanisms for ordering actions using random races.
IEEE Trans. Systems, Man, and Cybernetics, 1993

Adaptive Structuring of Binary Search Trees Using Conditional Rotations.
IEEE Trans. Knowl. Data Eng., 1993

An Optimal Absorbing List Organization Strategy with Constant Memory Requirements.
Theor. Comput. Sci., 1993

Determining stochastic dependence for normally distributed vectors using the chi-squared metric.
Pattern Recognition, 1993

Breaking Substitution Cyphers Using Stochastic Automata.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Self-Organizing Doubly-Linked Lists.
J. Algorithms, 1993

Fast Learning Automaton-Based Image Examination and Retrieval.
Comput. J., 1993

Transforming Ill-Conditioned Constrained Problems using Projections.
Comput. J., 1993

1992
Discretized estimator learning automata.
IEEE Trans. Systems, Man, and Cybernetics, 1992

On using the chi-squared metric for determining stochastic dependence.
Pattern Recognition, 1992

On the problem of multiple mobile robots cluttering a workspace.
Inf. Sci., 1992

A Short Note on Doubly-Linked List Reorganizing Heuristics.
Comput. J., 1992

1991
An adaptive learning solution to the keyboard optimization problem.
IEEE Trans. Systems, Man, and Cybernetics, 1991

Recognizing Sources of Random Strings.
IEEE Trans. Pattern Anal. Mach. Intell., 1991

Trajectory Planning of Robot Manipulators in Noisy Work Spaces Using Stochastic Automata.
I. J. Robotics Res., 1991

Adaptive Linear List Reorganization for a System Processing Set Queries.
Proceedings of the Fundamentals of Computation Theory, 8th International Symposium, 1991

1990
Discretized pursuit learning automata.
IEEE Trans. Systems, Man, and Cybernetics, 1990

Epsilon-optimal stubborn learning mechanisms.
IEEE Trans. Systems, Man, and Cybernetics, 1990

Deterministic Optimal and Expedient Move-to-Rear List Organizing Strategies.
Theor. Comput. Sci., 1990

On Generating Random Permutations with Arbitrary Distributions.
Comput. J., 1990

A Fast Learning Automaton Solution to the Keyboard Optimization Problem.
IEA/AIE (Vol. 2), 1990

1989
Epsilon-optimal discretized pursuit learning automata.
Proceedings of the IEEE International Conference on Systems, 1989

On using distribution theory to prove the epsilon-optimality of stubborn learning mechanisms.
Proceedings of the IEEE International Conference on Systems, 1989

Optimal Constant Space Move-to-Rear List Organization.
Proceedings of the Optimal Algorithms, International Symposium, Varna, Bulgaria, May 29, 1989

Generalizing Singly-Linked List Reorganizing Heuristics for Doubly-Linked Lists.
Proceedings of the Mathematical Foundations of Computer Science 1989, 1989

On Generating Random Permutations with Arbitrary Distributions.
Proceedings of the Computer Trends in the 1990s, 1989

1988
ϵ-optimal discretized linear reward-penalty learning automata.
IEEE Trans. Systems, Man, and Cybernetics, 1988

On terrain acquisition by a point robot amidst polyhedral obstacles.
IEEE J. Robotics and Automation, 1988

Deterministic Learning Automata Solutions to the Equipartitioning Problem.
IEEE Trans. Computers, 1988

Correction to "Recognition of Noisy Subsequences Using Constrained Edit Distances".
IEEE Trans. Pattern Anal. Mach. Intell., 1988

On Using Conditional Rotation Operations to Adaptively Structure Binary Search Trees.
Proceedings of the ICDT'88, 2nd International Conference on Database Theory, Bruges, Belgium, August 31, 1988

1987
Ergodic Learning Automata Capable of Incorporating a Priori Information.
IEEE Trans. Systems, Man, and Cybernetics, 1987

Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case.
IEEE J. Robotics and Automation, 1987

List Organizing Strategies Using Stochastic Move-to-Front and Stochastic Move-to-Rear Operations.
SIAM J. Comput., 1987

On the problem of translating an elliptic object through a workspace of elliptic obstacles.
Robotica, 1987

Recognition of Noisy Subsequences Using Constrained Edit Distances.
IEEE Trans. Pattern Anal. Mach. Intell., 1987

An Efficient Geometric Solution to the Minimum Spanning Circle Problem.
Operations Research, 1987

Fast Object Partitioning Using Stochastic Learning Automata.
Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1987

1986
A Learning Automaton Solution to the Stochastic Minimum-Spanning Circle Problem.
IEEE Trans. Systems, Man, and Cybernetics, 1986

Absorbing and Ergodic Discretized Two-Action Learning Automata.
IEEE Trans. Systems, Man, and Cybernetics, 1986

Constrained string editing.
Inf. Sci., 1986

On translating ellipses amidst elliptic obstacles.
Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986

Expedient Stochastic Move-to-Front and optimal Move-to-Rear List Organizing Strategies.
Proceedings of the ICDT'86, 1986

Robot Navigation in Unknown Terrains of Convex Polygonal Obstacles Using Learned Visibility Graphs.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985
Multiaction learning automata possessing ergodicity of the mean.
Inf. Sci., 1985

On the Futility of Arbitrarily Increasing Memory Capabilities of Stochastic Learning Automata.
Proceedings of the Artificial Intelligence Applications, 1985

1984
The asymptotic optimality of discretized linear reward-inaction learning automata.
IEEE Trans. Systems, Man, and Cybernetics, 1984

Spelling correction using probabilistic methods.
Pattern Recognition Letters, 1984

Algorithms for String Editing which Permit Arbitrarily Complex Editing Constraints.
Proceedings of the Mathematical Foundations of Computer Science 1984, 1984

1983
Learning automata processing ergodicity of the mean: The two-action case.
IEEE Trans. Systems, Man, and Cybernetics, 1983

The Noisy Substring Matching Problem.
IEEE Trans. Software Eng., 1983

Scale Preserving Smoothing of Polygons.
IEEE Trans. Pattern Anal. Mach. Intell., 1983

1982
A Geometrical Approach to Polygonal Dissimilarity and Shape Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 1982

1981
An effective algorithm for string correction using generalized edit distance - II. Computational complexity of the algorithm and some applications.
Inf. Sci., 1981

An effective algorithm for string correction using generalized edit distances--I. Description of the algorithm and its optimality.
Inf. Sci., 1981


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