B. John Oommen
Orcid: 0000-0002-5105-1575Affiliations:
- Carleton University, Ottawa, Canada
According to our database1,
B. John Oommen
authored at least 388 papers
between 1981 and 2023.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2003, "For contributions to automata learning and syntactic pattern recognition.".
Timeline
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Online presence:
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on zbmath.org
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Bibliography
2023
Pioneering approaches for enhancing the speed of hierarchical LA by <i>ordering</i> the actions.
Inf. Sci., November, 2023
The object migration automata: its field, scope, applications, and future research challenges.
Pattern Anal. Appl., August, 2023
Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes.
Pattern Anal. Appl., May, 2023
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution.
Pattern Anal. Appl., February, 2023
Adaptive learning with artificial barriers yielding Nash equilibria in general games.
Knowl. Eng. Rev., 2023
2022
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results.
Proceedings of the Advances in Computing, Informatics, Networking and Cybersecurity, 2022
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm.
IEEE Trans. Neural Networks Learn. Syst., 2021
On utilizing 2D features from 3D scans to enhance the prediction of lung cancer survival rates.
Pattern Recognit. Lett., 2021
Pattern Anal. Appl., 2021
Evol. Syst., 2021
On utilizing the transitivity pursuit-enhanced object partitioning to optimize self-organizing lists-on-lists.
Evol. Syst., 2021
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists.
Evol. Syst., 2021
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
2020
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton.
IEEE Trans. Neural Networks Learn. Syst., 2020
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst., 2020
On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm.
Pattern Anal. Appl., 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
2019
Eng. Appl. Artif. Intell., 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Optimizing Self-organizing Lists-on-Lists Using Pursuit-Oriented Enhanced Object Partitioning.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
2018
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques.
Pattern Recognit., 2018
J. Comput. Sci., 2018
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata.
J. Comput. Sci., 2018
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm.
Int. J. Commun. Syst., 2018
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games.
Appl. Intell., 2018
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
IEEE Access, 2018
Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies.
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. Cybern., 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
Inf. Sci., 2017
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information.
Eng. Appl. Artif. Intell., 2017
Auton. Agents Multi Agent Syst., 2017
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme.
Proceedings of the Smart Grid Inspired Future Technologies, 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
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017
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
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. Cybern., 2016
On Achieving History-Based Move Ordering in Adversarial Board Games Using Adaptive Data Structures.
Trans. Comput. Collect. Intell., 2016
Trans. Comput. Collect. Intell., 2016
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments.
Pattern Recognit., 2016
Appl. Intell., 2016
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell., 2016
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
Proceedings of the 6th International Conference on Communication and Network Security, 2016
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
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
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
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
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
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015
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. Cybern., 2014
Trans. Comput. Collect. Intell., 2014
Corrigendum to three papers that deal with "Anti"-Bayesian Pattern Recognition [Pattern Recognition].
Pattern Recognit., 2014
"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family.
Pattern Recognit., 2014
Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations.
Pattern Recognit., 2014
Neurocomputing, 2014
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell., 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
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. Cybern., 2013
Modeling the "Learning Process" of the Teacher in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Cybern., 2013
Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties.
Trans. Comput. Collect. Intell., 2013
Order statistics-based parametric classification for multi-dimensional distributions.
Pattern Recognit., 2013
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria.
Pattern Recognit., 2013
Pattern Recognit., 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.
Int. J. Pattern Recognit. Artif. Intell., 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
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 <i>ε</i>-Optimality of the Continuous Pursuit Learning Automaton.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
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
Proceedings of the Computer Analysis of Images and Patterns, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Trans. Comput. Collect. Intell., 2012
Trans. Comput. Collect. Intell., 2012
Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior.
Simul., 2012
On using prototype reduction schemes to optimize locally linear reconstruction methods.
Pattern Recognit., 2012
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators.
J. Inf. Process. Syst., 2012
The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network.
Intell. Decis. Technol., 2012
Appl. Intell., 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
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
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.
Wirel. Pers. Commun., 2011
ACM Trans. Internet Techn., 2011
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem.
Eng. Appl. Artif. Intell., 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
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
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 <i>Commons Game</i>.
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
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
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
IEEE Trans. Syst. Man Cybern. Part B, 2010
Modeling a Student-Classroom Interaction in a Tutorial-Like System Using Learning Automata.
IEEE Trans. Syst. Man Cybern. Part B, 2010
On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases.
IEEE Trans. Syst. Man Cybern. Part B, 2010
Random Early Detection for Congestion Avoidance in Wired Networks: A Discretized Pursuit Learning-Automata-Like Solution.
IEEE Trans. Syst. Man Cybern. Part B, 2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
Fault-tolerant routing in adversarial mobile ad hoc networks: an efficient route estimation scheme for non-stationary environments.
Telecommun. Syst., 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. Exp., 2010
Pattern Recognit., 2010
Pattern Recognit., 2010
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem.
Appl. Intell., 2010
Acta Cybern., 2010
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
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 <i>Locally</i> Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
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
Proceedings of the Computer Recognition Systems 3, 2009
Proceedings of the Springer Handbook of Automation, 2009
Achieving Microaggregation for Secure Statistical Databases Using Fixed-Structure Partitioning-Based Learning Automata.
IEEE Trans. Syst. Man Cybern. 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 Recognit., 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. Commun. Syst., 2009
On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009
Proceedings of the Next-Generation Applied Intelligence, 2009
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009
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. Syst. Man Cybern. Part B, 2008
On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2008
An efficient compression scheme for data communication which uses a new family of self-organizing binary search trees.
Int. J. Commun. Syst., 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
Proceedings of the 2008 Spring Simulation Multiconference, 2008
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
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. Syst. Man Cybern. Part B, 2007
Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception.
IEEE Trans. Syst. Man Cybern. Part B, 2007
ACM Trans. Multim. Comput. Commun. Appl., 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 Recognit., 2007
Pattern Recognit., 2007
Pattern Anal. Appl., 2007
Periodicity and stability issues of a <i>chaotic</i> 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
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
On Using Learning Automata to Model a Student's Behavior in a Tutorial-<i>like</i> 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
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 <i>Behavioral Synchronization</i>.
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
Proceedings of the Advances in Artificial Intelligence, 2007
2006
Stochastic Automata-Based Estimators for Adaptively Compressing Files With Nonstationary Distributions.
IEEE Trans. Syst. Man Cybern. Part B, 2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
On optimizing syntactic pattern recognition using tries and AI-based heuristic-search strategies.
IEEE Trans. Syst. Man Cybern. Part B, 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 Recognit., 2006
Pattern Recognit., 2006
Pattern Anal. Appl., 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
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
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
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006
On Optimizing the <i>k</i>-Ward Micro-aggregation Technique for Secure Statistical Databases.
Proceedings of the Information Security and Privacy, 11th Australasian Conference, 2006
Proceedings of the 44st Annual Southeast Regional Conference, 2006
2005
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions.
IEEE Trans. Syst. Man Cybern. 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
Modeling Inaccurate Perception: Desynchronization Issues of a <i>Chaotic</i> 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
Proceedings of the Computer and Information Sciences, 2005
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 <i>Chaotic</i> 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
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. Syst. Man Cybern. Part B, 2004
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods.
Pattern Recognit., 2004
A formal approach to using data distributions for building causal polytree structures.
Inf. Sci., 2004
GPSPA: a new adaptive algorithm for maintaining shortest path routing trees in stochastic networks.
Int. J. Commun. Syst., 2004
Proceedings of the Structural, 2004
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
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
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
Proceedings of the 42nd Annual Southeast Regional Conference, 2004
2003
Benchmarking attribute cardinality maps for database systems using the TPC-D specifications.
IEEE Trans. Syst. Man Cybern. 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 Recognit., 2003
Pattern Recognit., 2003
Pattern Anal. Appl., 2003
Classification Error-Rate Estimation Using New Pseudo-Sample Bootstrap Methods.
Proceedings of the Pattern Recognition in Information Systems, 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
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. Syst. Man Cybern. Part B, 2002
Generalized pursuit learning schemes: new families of continuous and discretized learning automata.
IEEE Trans. Syst. Man Cybern. Part B, 2002
Enhanced layered segment trees: a pragmatic data structure for real-time processing of geometric objects.
Pattern Recognit., 2002
On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case.
IEEE Trans. Pattern Anal. Mach. Intell., 2002
Comput. J., 2002
Proceedings of the Structural, 2002
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 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. Syst. Man Cybern. Part B, 2001
IEEE Trans. Pattern Anal. Mach. Intell., 2001
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
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001
2000
IEEE Trans. Computers, 2000
Fast, efficient and accurate solutions to the Hamiltonian path problem using neural approaches.
Comput. Oper. Res., 2000
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
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000
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: KNIES<sub>DECOMPOSE</sub>.
Proceedings of the ECAI 2000, 2000
1999
Designing syntactic pattern classifiers using vector quantization and parametric string editing.
IEEE Trans. Syst. Man Cybern. Part B, 1999
The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem.
Neural Networks, 1999
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
IEEE Trans. Syst. Man Cybern. Part B, 1998
IEEE Trans. Syst. Man Cybern. Part B, 1998
Pattern Recognit., 1998
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
Stochastic searching on the line and its applications to parameter learning in nonlinear optimization.
IEEE Trans. Syst. Man Cybern. Part B, 1997
Pattern recognition of strings with substitutions, insertions, deletions and generalized transpositions.
Pattern Recognit., 1997
IEEE Trans. Pattern Anal. Mach. Intell., 1997
INFORMS J. Comput., 1997
Proceedings of 17th International Conference of the Chilean Computer Science Society (SCCC '97), 1997
Proceedings of the Algorithms and Computation, 8th International Symposium, 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
IEEE Trans. Computers, 1996
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. Syst. Man Cybern., 1995
IEEE Trans. Syst. Man Cybern., 1995
String Alignment with Substitution, Insertion, Deletion, Squashing and Expansion Operations.
Inf. Sci., 1995
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
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
1994
SEATER: An Object-Oriented Simulation Environment Using Learning Automata for Telephone Traffic Routing.
IEEE Trans. Syst. Man Cybern. Syst., 1994
A New Technique for Enhancing Linked-List Data Retrieval: Reorganize Data Using Artificially synthesized Queries.
Comput. J., 1994
1993
IEEE Trans. Syst. Man Cybern., 1993
IEEE Trans. Knowl. Data Eng., 1993
Theor. Comput. Sci., 1993
Determining stochastic dependence for normally distributed vectors using the chi-squared metric.
Pattern Recognit., 1993
IEEE Trans. Pattern Anal. Mach. Intell., 1993
Comput. J., 1993
1992
Pattern Recognit., 1992
Proceedings of the Computer Science and Operations Research, 1992
1991
IEEE Trans. Syst. Man Cybern., 1991
Trajectory Planning of Robot Manipulators in Noisy Work Spaces Using Stochastic Automata.
Int. J. Robotics Res., 1991
Stochastic Automata Solutions to the Object Partitioning Problem.
Comput. J., 1991
Proceedings of the Fundamentals of Computation Theory, 8th International Symposium, 1991
1990
Theor. Comput. Sci., 1990
Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990
1989
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
Proceedings of the Optimal Algorithms, International Symposium, Varna, Bulgaria, May 29, 1989
Proceedings of the Mathematical Foundations of Computer Science 1989, 1989
1988
IEEE Trans. Syst. Man Cybern., 1988
IEEE J. Robotics Autom., 1988
IEEE Trans. Computers, 1988
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
IEEE Trans. Syst. Man Cybern., 1987
Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case.
IEEE J. Robotics Autom., 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
IEEE Trans. Pattern Anal. Mach. Intell., 1987
Oper. Res., 1987
Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1987
1986
IEEE Trans. Syst. Man Cybern., 1986
IEEE Trans. Syst. Man Cybern., 1986
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
On the Futility of Arbitrarily Increasing Memory Capabilities of Stochastic Learning Automata.
Proceedings of the Artificial Intelligence Applications, 1985
1984
IEEE Trans. Syst. Man Cybern., 1984
Proceedings of the Mathematical Foundations of Computer Science 1984, 1984
1983
IEEE Trans. Syst. Man Cybern., 1983
IEEE Trans. Pattern Anal. Mach. Intell., 1983
1982
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