Bernard Manderick

According to our database, Bernard Manderick authored at least 88 papers between 1989 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study.

Bowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Natural gradient evolution strategies for adaptive sampling.

Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Nowé

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2017

Adaptiveness of CMA based samplers.

Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparison of adaptive MCMC methods.

Edna Milgo, Nixon K. Ronoh, Peter Waiganjo Wagacha, Bernard Manderick

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Honesty and deception in populations of selfish, adaptive individuals.

David Catteeuw, Bernard Manderick

Knowl. Eng. Rev., 2016

An adaptive rule-based classifier for mining big biological data.

Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé

Expert Syst. Appl., 2016

Genomic Variant Classifier Tool.

Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data.

Dewan Md. Farid, Ann Nowé, Bernard Manderick

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Schemata Bandits for MAXSAT.

Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Trans. Comput. Collect. Intell., 2015

Improving protein-protein interaction article classification using biological domain knowledge.

Yifei Chen, Hongjian Guo, Feng Liu, Bernard Manderick

Int. J. Data Min. Bioinform., 2015

Monte Carlo Schemata Searching for Physical Activity Recognition.

Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick

Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2015, 2015

Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms.

Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2015, 2015

Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem.

Saba Q. Yahyaa, Bernard Manderick

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Bernoulli bandits: an empirical comparison.

Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Annealing linear scalarized based multi-objective multi-armed bandit algorithm.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

The limits and robustness of reinforcement learning in Lewis signalling games.

David Catteeuw, Bernard Manderick

Connect. Sci., 2014

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems.

Madalina M. Drugan, Pedro Isasi, Bernard Manderick

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Knowledge Gradient for Online Reinforcement Learning.

Saba Q. Yahyaa, Bernard Manderick

Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Online Knowledge Gradient Exploration in an Unknown Environment.

Saba Q. Yahyaa, Bernard Manderick

Proceedings of the ICAART 2014, 2014

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the ICAART 2014, 2014

Evolution of honest signaling by social punishment.

David Catteeuw, The Anh Han, Bernard Manderick

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Annealing-pareto multi-objective multi-armed bandit algorithm.

Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

Pareto Upper Confidence Bounds algorithms: An empirical study.

Madalina M. Drugan, Ann Nowé, Bernard Manderick

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

Knowledge Gradient Exploration in Online Least Squares Policy Iteration.

Saba Q. Yahyaa, Bernard Manderick

Proceedings of the ICAART 2013, 2013

Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs.

Saba Q. Yahyaa, Bernard Manderick

Proceedings of the ICAART 2013, 2013

Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks.

Eric Ayienga, Elisha Opiyo, Bernard Manderick, Okelo Odongo

Proceedings of the ICAART 2013, 2013

Evolutionary stability of honest signaling in finite populations.

David Catteeuw, Bernard Manderick, The Anh Han

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

String Methods for Folk Tune Genre Classification.

Ruben Hillewaere, Bernard Manderick, Darrell Conklin

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Alignment Methods for Folk Tune Classification.

Ruben Hillewaere, Bernard Manderick, Darrell Conklin

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study.

Bernard Manderick, Saba Q. Yahyaa

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

A machine learning-based system to normalise gene mentions to unique database identifiers.

Yifei Chen, Feng Liu, Bernard Manderick

Int. J. Data Min. Bioinform., 2011

Heterogeneous Populations of Learning Agents in the Minority Game.

David Catteeuw, Bernard Manderick

Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

2010

BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge.

Yifei Chen, Feng Liu, Bernard Manderick

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

BioLMiner and the BioCreative II.5 challenge.

Yifei Chen, Feng Liu, Bernard Manderick

BMC Bioinform., 2010

String Quartet Classification with Monophonic Models.

Ruben Hillewaere, Bernard Manderick, Darrell Conklin

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009

Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions.

Yifei Chen, Feng Liu, Bram Vanschoenwinkel, Bernard Manderick

J. Univers. Comput. Sci., 2009

Global Feature Versus Event Models for Folk Song Classification.

Ruben Hillewaere, Bernard Manderick, Darrell Conklin

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Learning in the time-dependent minority game.

David Catteeuw, Bernard Manderick

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Learning in Minority Games with Multiple Resources.

David Catteeuw, Bernard Manderick

Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

2008

Causal Graphical Models with Latent Variables: Learning and Inference.

Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Evaluating and Comparing Biomedical Term Identification Systems.

Yifei Chen, Feng Liu, Bernard Manderick

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007

Inference in multi-agent causal models.

Sam Maes, Stijn Meganck, Bernard Manderick

Int. J. Approx. Reason., 2007

Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields.

Feng Liu, Yifei Chen, Bernard Manderick

Proceedings of the Enterprise Information Systems, 9th International Conference, 2007

Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines.

Feng Liu, Yifei Chen, Bernard Manderick

Proceedings of the ICEIS 2007, 2007

Causal Graphical Models with Latent Variables: Learning and Inference.

Stijn Meganck, Philippe Leray, Bernard Manderick

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine.

Yifei Chen, Feng Liu, Bernard Manderick

Proceedings of the 2007 International Conference on Data Mining, 2007

2006

Learning Semi-Markovian Causal Models using Experiments.

Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.

Stijn Meganck, Philippe Leray, Bernard Manderick

Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

2005

Context-Sensitive Kernel Functions: A Distance Function Viewpoint.

Bram Vanschoenwinkel, Feng Liu, Bernard Manderick

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Distributed learning of Multi-Agent Causal Models.

Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Identification in Chain Multi-Agent Causal Models.

Sam Maes, Stijn Meganck, Bernard Manderick

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

A Learning Algorithm for Multi-Agent Causal Models.

Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray

Proceedings of the EUMAS 2005, 2005

On Support Vector and Relevance Vector Machines.

Peter Waiganjo Wagacha, Bernard Manderick, Maina Muuro

Proceedings of the BNAIC 2005, 2005

Context-sensitive Kernel Functions: A Comparison Between Different Context Weights.

Bram Vanschoenwinkel, Bernard Manderick

Proceedings of the BNAIC 2005, 2005

Causal Inference in Multi-Agent Causal Models.

Sam Maes, Stijn Meganck, Bernard Manderick

Proceedings of the BNAIC 2005, 2005

Identification of Causal Effects in Multi-Agent Causal Models.

Sam Maes, Stijn Meganck, Bernard Manderick

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004

An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems.

Karl Tuyls, Ann Nowé, Tom Lenaerts, Bernard Manderick

Synth., 2004

Substitution matrix based kernel functions for protein secondary structure prediction.

Bram Vanschoenwinkel, Bernard Manderick

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Gene Interaction and Modularisation in a Model for Gene-Regulated Development.

Piet van Remortel, Bernard Manderick, Tom Lenaerts

Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004

Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data.

Bram Vanschoenwinkel, Bernard Manderick

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

PDB file parser and structure class implemented in Python.

Thomas Hamelryck, Bernard Manderick

Bioinform., 2003

A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines.

Bram Vanschoenwinkel, Bernard Manderick

Proceedings of the IJCAI-03, 2003

Developmental Effects on Tuneable Fitness Landscapes.

Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick

Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

Identifiability of Causal Effects in a Multi-Agent Causal Model.

Sam Maes, Joke Reumers, Bernard Manderick

Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems.

Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Reinforcement Learning in Large State Spaces.

Karl Tuyls, Sam Maes, Bernard Manderick

Proceedings of the RoboCup 2002: Robot Soccer World Cup VI, 2002

Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information.

Karl Tuyls, Sam Maes, Bernard Manderick

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Evaluation of a Simple Multi-Level Selection Model.

Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick

Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

An Individual-based Approach To Multi-level Selection.

Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes.

Piet van Remortel, Tom Lenaerts, Bernard Manderick

Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs.

Piet van Remortel, Tom Lenaerts, Bernard Manderick

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Transitions in a Simple Evolutionary Model.

Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick

Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

1998

Building a Genetic Programming Framework: The Added-Value of Design Patterns.

Tom Lenaerts, Bernard Manderick

Proceedings of the Genetic Programming, First European Workshop, 1998

1997

Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems).

Ian Frank, Bernard Manderick, Tetsuya Higuchi

Evol. Comput., 1997

1996

Finding Optimal Representations Using the Crossover Correlation Coefficient.

Piet Spiessens, Bernard Manderick

Proceedings of the Advances in Artificial Intelligence, 1996

Evolvable Hardware: An Outlook.

Bernard Manderick, Tetsuya Higuchi

Proceedings of the Evolvable Systems: From Biology to Hardware, 1996

1995

Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems.

Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick

Proceedings of the Towards Evolvable Hardware, 1995

The Usefulness of Recombination.

Wim Hordijk, Bernard Manderick

Proceedings of the Advances in Artificial Life, 1995

1994

The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance.

Hiroaki Inayoshi, Bernard Manderick

Proceedings of the Parallel Problem Solving from Nature, 1994

Applying Evolvable Hardware to Autonomous Agents.

Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick

Proceedings of the Parallel Problem Solving from Nature, 1994

1991

A Massively Parallel Genetic Algorithm: Implementation and First Analysis.

Piet Spiessens, Bernard Manderick

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

The Genetic Algorithm and the Structure of the Fitness Landscape.

Bernard Manderick, Mark K. de Weger, Piet Spiessens

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990

Selectionist Categorization.

Bernard Manderick

Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990

1989

Fine-Grained Parallel Genetic Algorithms.

Bernard Manderick, Piet Spiessens

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989