Bernard Manderick

发表

BioLMiner and the BioCreative II.5 challenge

Feng Liu, Yifei Chen, Bernard Manderick, 2010, BMC Bioinformatics.

Adaptiveness of CMA based samplers

Bernard Manderick, Edna Milgo, Nixon K. Ronoh, 2017, GECCO.

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems

Bernard Manderick, Pedro Isasi Viñuela, Madalina M. Drugan, 2014, SEAL.

Evolutionary stability of honest signaling in finite populations

Bernard Manderick, Han The Anh, David Catteeuw, 2013, 2013 IEEE Congress on Evolutionary Computation.

Finding Optimal Representations Using the Crossover Correlation Coefficient

Bernard Manderick, Piet Spiessens, B. Manderick, 1996, SBIA.

Naïve Reinforcement Learning As a Guide for Path Discovery

Bernard Manderick, Ann Nowé, William Okello Odongo, 2011 .

String Methods for Folk Tune Genre Classification

Bernard Manderick, Darrell Conklin, Ruben Hillewaere, 2012, ISMIR.

Population Flow on Fitness Landscapes

Bernard Manderick, Wim Hordijk, Stuart A. Kauffman, 1994 .

Comparison of adaptive MCMC methods

Bernard Manderick, Edna Milgo, Nixon K. Ronoh, 2017, ESANN.

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

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Alignment Methods for Folk Tune Classification

Bernard Manderick, Darrell Conklin, Ruben Hillewaere, 2012, GfKl.

Distributed learning of multi-agent causal models

Bernard Manderick, Philippe Leray, Sam Maes, 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

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

Bernard Manderick, Philippe Leray, Stijn Meganck, 2006, MDAI.

Evaluation of a Simple Multi-Level Selection Model

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2002, GECCO Late Breaking Papers.

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

Bernard Manderick, Feng Liu, Yifei Chen, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Bernard Manderick, Hiroaki Inayoshi, B. Manderick, 1994, PPSN.

Gene interaction and modularisation in a model for gene-regulated development

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

The robustness of small developed SBlock circuits using different clocking schemes

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2002, Proceedings 2002 NASA/DoD Conference on Evolvable Hardware.

Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992

Reinhard Männer, Bernard Manderick, B. Manderick, 1992, Parallel Problem Solving from Nature.

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

Bernard Manderick, Bram Vanschoenwinkel, B. Manderick, 2004, Deterministic and Statistical Methods in Machine Learning.

Causal discovery in non-ideal frameworks. Information interaction intelligence

Bernard Manderick, Philippe Leray, Stijn Meganck, 2009 .

BeneLearn 2012 : proceedings of the 21st Belgian-Dutch conference on machine learning

Bernard De Baets, Bernard Manderick, Willem Waegeman, 2012 .

Genomic Variant Classifier Tool

Bernard Manderick, Dewan Md. Farid, Ann Nowé, 2016, IntelliSys.

Transitions in a Simple Evolutionary Model

Tom Lenaerts, Bernard Manderick, Anne Defaweux, 2001, ECAL.

Monte Carlo Schemata Searching for Physical Activity Recognition

Bernard Manderick, Alejandro Baldominos Gómez, Pedro Isasi Viñuela, 2015, 2015 International Conference on Intelligent Networking and Collaborative Systems.

Knowledge Gradient for Online Reinforcement Learning

Bernard Manderick, Saba Q. Yahyaa, B. Manderick, 2014, ICAART.

An adaptive rule-based classifier for mining big biological data

Bernard Manderick, Ann Nowé, Dewan Md. Farid, 2016, Expert Syst. Appl..

Knowledge Gradient Exploration in Online Least Squares Policy Iteration

Bernard Manderick, Saba Q. Yahyaa, B. Manderick, 2013, ICAART.

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

Hitoshi Iba, Bernard Manderick, Yuji Hirao, 1995, Towards Evolvable Hardware.

Identification in Chain Multi-Agent Causal Models

Bernard Manderick, Sam Maes, Stijn Meganck, 2005, FLAIRS Conference.

Agent Systems Scheduler and Open Grid Computing Standards

Bernard Manderick, Ann Nowé, Elisha T. O. Opiyo, 2006 .

String Quartet Classification with Monophonic Models

Bernard Manderick, Darrell Conklin, Ruben Hillewaere, 2010, ISMIR.

Learning Semi-Markovian Causal Models using Experiments

Bernard Manderick, Philippe Leray, Sam Maes, 2006, Probabilistic Graphical Models.

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

Bernard Manderick, Bram Vanschoenwinkel, B. Manderick, 2005, BNAIC.

Evolution of honest signaling by social punishment

Bernard Manderick, Han The Anh, David Catteeuw, 2014, GECCO.

Niching and evolutionary transitions in multi-agent systems

Tom Lenaerts, Bernard Manderick, Ann Nowé, 2001 .

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

Bernard Manderick, Ian Frank, Tetsuya Higuchi, 1997, Evolutionary Computation.

The Genetic Algorithm and the Structure of the Fitness Landscape

Bernard Manderick, Piet Spiessens, Mark K. de Weger, 1991, ICGA.

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

Bernard Manderick, Ann Nowé, Karl Tuyls, 2003, ECML.

Selectionist Categorization

Bernard Manderick, B. Manderick, 1990, PPSN.

RESEARCH ARTICLE The Limits and Robustness of Reinforcement Learning in Lewis Signaling Games

Bernard Manderick, David Catteeuw, B. Manderick, 2013 .

A Massively Parallel Genetic Algorithm: Implementation and First Analysis

Bernard Manderick, Piet Spiessens, B. Manderick, 1991, ICGA.

Evolvable hardware

Hitoshi Iba, Bernard Manderick, Tetsuya Higuchi, 1994 .

Learning in Minority Games with Multiple Resources

Bernard Manderick, David Catteeuw, 2009, ECAL.

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

Tom Lenaerts, Bernard Manderick, Ann Nowé, 2004, Synthese.

Heterogeneous Populations of Learning Agents in the Minority Game

Bernard Manderick, David Catteeuw, 2011, ALA.

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

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2002, Australian Joint Conference on Artificial Intelligence.

Annealing-pareto multi-objective multi-armed bandit algorithm

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

PDB file parser and structure class implemented in Python

Bernard Manderick, Thomas Hamelryck, B. Manderick, 2003, Bioinform..

Negotiation for Calculating Causal Effects in Bi-Agent Causal Models

Bernard Manderick, Sam Maes, Stijn Meganck, 2005 .

Identification of Causal Effects in Multi-Agent Causal Models

Bernard Manderick, Sam Maes, Stijn Meganck, 2005, Artificial Intelligence and Applications.

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

Feng Liu, Yifei Chen, Bernard Manderick, 2011, Int. J. Data Min. Bioinform..

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

Bernard Manderick, Eric Ayienga, Okelo Odongo, 2013, ICAART.

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

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2015, ICAART.

Bernoulli bandits: an empirical comparison

Bernard Manderick, Edna Milgo, Nixon K. Ronoh, 2015, ESANN.

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

Bernard Manderick, Madalina M. Drugan, 2015, ICAART.

Issues In Grid Computing In The Context Of Education

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2008 .

An Individual-based Approach To Multi-level Selection

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2002, GECCO.

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

Feng Liu, Yifei Chen, Bernard Manderick, 2010, IEEE ACM Trans. Comput. Biol. Bioinform..

Evolvable Hardware: An Outlook

Bernard Manderick, Tetsuya Higuchi, B. Manderick, 1996, ICES.

Modeling a Multi-Agent Environment Combining Influence Diagrams

Bernard Manderick, Karl Tuyls, Sam Maes, 2007 .

BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005

Bernard Manderick, Bart Kuijpers, Ann Nowé, 2005, BNAIC.

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

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2014, ESANN.

Towards a relation between learning agents and evolutionary dynamics

Tom Lenaerts, Bernard Manderick, Karl Tuyls, 2002 .

Developmental Effects on Tuneable Fitness Landscapes

Tom Lenaerts, Bernard Manderick, Piet van Remortel, 2003, ICES.

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

Feng Liu, Yifei Chen, Bernard Manderick, 2007, DMIN.

Computing research challenges and opportunities with grid computers

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2008 .

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

Feng Liu, Yifei Chen, Bernard Manderick, 2009, J. Univers. Comput. Sci..

Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem

Bernard Manderick, Saba Q. Yahyaa, 2015, ESANN.

Inference in multi-agent causal models

Bernard Manderick, Sam Maes, Stijn Meganck, 2007, Int. J. Approx. Reason..

The Usefulness of Recombination

Bernard Manderick, Wim Hordijk, 1995, ECAL.

Causal Graphical Models with Latent Variables: Learning and Inference

Bernard Manderick, Philippe Leray, Sam Maes, 2008, Innovations in Bayesian Networks.

Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs

Bernard Manderick, Saba Q. Yahyaa, 2013, ICAART.

Evaluating and Comparing Biomedical Term Identification Systems

Feng Liu, Yifei Chen, Bernard Manderick, 2008, ICIC.

The limits and robustness of reinforcement learning in Lewis signalling games

Bernard Manderick, David Catteeuw, B. Manderick, 2014, Connect. Sci..

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

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2015, Trans. Comput. Collect. Intell..

Identifiability of causal effects in a multi-agent causal model

Bernard Manderick, Sam Maes, Joke Reumers, 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

An ensemble self-training protein interaction article classifier.

Ping Hou, Yifei Chen, Bernard Manderick, 2014, Bio-medical materials and engineering.

Roth-erev learning in signaling and language games

Bernard Manderick, David Catteeuw, Joachim De Beule, 2011, BNAIC 2011.

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

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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

Feng Liu, Yifei Chen, Bernard Manderick, 2007, ICEIS.

Improving protein-protein interaction article classification using biological domain knowledge

Feng Liu, Yifei Chen, Bernard Manderick, 2015, Int. J. Data Min. Bioinform..

A Learning Algorithm for Multi-Agent Causal Models

Bernard Manderick, Philippe Leray, Sam Maes, 2005, EUMAS.

Global Feature Versus Event Models for Folk Song Classification

Bernard Manderick, Darrell Conklin, Ruben Hillewaere, 2009, International Society for Music Information Retrieval Conference.

Causal Inference in Multi-Agent Causal Models

Bernard Manderick, Sam Maes, Stijn Meganck, 2005, BNAIC.

Context-Sensitive Kernel Functions: A Distance Function Viewpoint

Feng Liu, Bernard Manderick, Bram Vanschoenwinkel, 2005, ICMLC.

Learning in the time-dependent minority game

Bernard Manderick, David Catteeuw, B. Manderick, 2009, GECCO '09.

Schemata Bandits for MAXSAT

Bernard Manderick, Edna Milgo, Nixon K. Ronoh, 2016, GECCO.

On Support Vector and Relevance Vector Machines

Bernard Manderick, Peter Waiganjo Wagacha, Maina Muuro, 2005, BNAIC.

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

Bernard Manderick, Karl Tuyls, Sam Maes, 2002, ICMLA.

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

Bernard Manderick, Saba Q. Yahyaa, 2012, ESANN.

Causal Graphical Models with Latent Variables: Learning and Inference

Bernard Manderick, Philippe Leray, Stijn Meganck, 2007, ECSQARU.

Fine-Grained Parallel Genetic Algorithms

Bernard Manderick, Piet Spiessens, B. Manderick, 1989, ICGA.

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms

Bernard Manderick, Madalina M. Drugan, Saba Q. Yahyaa, 2014, ICAART.

Pareto Upper Confidence Bounds algorithms: An empirical study

Bernard Manderick, Ann Nowé, Madalina M. Drugan, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Applying Evolvable Hardware to Autonomous Agents

Hitoshi Iba, Bernard Manderick, Tetsuya Higuchi, 1994, PPSN.

In search of a good optimization-evolution crossover

Reinhard Männer, Bernard Manderick, Hugues Bersini, 1992 .

Applying subgroup discovery for the analysis of string quartet movements

Bernard Manderick, Ann Nowé, Darrell Conklin, 2010, MML '10.

Online Knowledge Gradient Exploration in an Unknown Environment

Bernard Manderick, Saba Q. Yahyaa, B. Manderick, 2014, ICAART.

Grid computing as a dynamic domain for multi-agent systems based scheduling

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2003 .

SLUM: Service Layered Utility Maximization Model to Guide Dynamic Composite Webservice Selection in Virtual Organizations

Bernard Manderick, William Okello Odongo, Elisha Abade, 2016 .

Parallel Problem Solving from Nature, 2: Proceedings of the Second Conference on Parallel Problem Solving from Nature, Brussels, Belgium, 28-30 September, 1992

Reinhard Männer, Bernard Manderick, 1992 .

Proceedings of the 17th Belgium-Netherlands Conference on Artificial Intelligence

Bernard Manderick, Bart Kuijpers, Wim H. Hesselink, 2005 .

Substitution matrix based kernel functions for protein secondary structure prediction

Bernard Manderick, Bram Vanschoenwinkel, B. Manderick, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Descriptive Subgroup Mining of Folk Music

Bernard Manderick, Darrell Conklin, Ruben Hillewaere, 2009 .

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

Feng Liu, Bernard Manderick, Yifei Chen, 2007, ICEIS.

A Simulation Modelling-Based Investigation of the Impact of IT Infrastructure on Business Process

Bernard Manderick, William Okello-Odongo, Katherine Getao, 2008 .