Bernard Manderick

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Multi Armed Bandit

Top Venues

GECCO (Companion)

Publications

Bowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick
Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study. GECCO Companion (2023)
Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Nowé
Natural gradient evolution strategies for adaptive sampling. GECCO Companion (2022)
Edna Milgo, Nixon K. Ronoh, Peter Waiganjo Wagacha, Bernard Manderick
Comparison of adaptive MCMC methods. ESANN (2017)
Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick
Adaptiveness of CMA based samplers. GECCO (Companion) (2017)
Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren
Genomic Variant Classifier Tool. IntelliSys (1) (2016)
David Catteeuw, Bernard Manderick
Honesty and deception in populations of selfish, adaptive individuals. Knowl. Eng. Rev. 31 (1) (2016)
Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick
Schemata Bandits for MAXSAT. GECCO (Companion) (2016)
Dewan Md. Farid, Ann Nowé, Bernard Manderick
Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. IntelliSys (1) (2016)
Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé
An adaptive rule-based classifier for mining big biological data. Expert Syst. Appl. 64 (2016)
Yifei Chen, Hongjian Guo, Feng Liu, Bernard Manderick
Improving protein-protein interaction article classification using biological domain knowledge. Int. J. Data Min. Bioinform. 12 (2) (2015)
Saba Q. Yahyaa, Bernard Manderick
Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem. ESANN (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. Trans. Comput. Collect. Intell. 20 (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. ICAART (2) (2015)
Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick
Monte Carlo Schemata Searching for Physical Activity Recognition. INCoS (2015)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Annealing linear scalarized based multi-objective multi-armed bandit algorithm. CEC (2015)
Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick
Bernoulli bandits: an empirical comparison. ESANN (2015)
Madalina M. Drugan, Bernard Manderick
Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. ICAART (2) (2015)
David Catteeuw, Bernard Manderick
The limits and robustness of reinforcement learning in Lewis signalling games. Connect. Sci. 26 (2) (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. ESANN (2014)
Madalina M. Drugan, Ann Nowé, Bernard Manderick
Pareto Upper Confidence Bounds algorithms: An empirical study. ADPRL (2014)
Madalina M. Drugan, Pedro Isasi, Bernard Manderick
Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL (2014)
Saba Q. Yahyaa, Bernard Manderick
Knowledge Gradient for Online Reinforcement Learning. ICAART (Revised Selected Papers) (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. IJCNN (2014)
David Catteeuw, The Anh Han, Bernard Manderick
Evolution of honest signaling by social punishment. GECCO (2014)
Saba Q. Yahyaa, Bernard Manderick
Online Knowledge Gradient Exploration in an Unknown Environment. ICAART (1) (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. ICAART (1) (2014)
Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
Annealing-pareto multi-objective multi-armed bandit algorithm. ADPRL (2014)
Eric Ayienga, Elisha Opiyo, Bernard Manderick, Okelo Odongo
Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks. ICAART (2) (2013)
Saba Q. Yahyaa, Bernard Manderick
Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. ICAART (2) (2013)
Saba Q. Yahyaa, Bernard Manderick
Knowledge Gradient Exploration in Online Least Squares Policy Iteration. ICAART (2) (2013)
David Catteeuw, Bernard Manderick, The Anh Han
Evolutionary stability of honest signaling in finite populations. IEEE Congress on Evolutionary Computation (2013)
Bernard Manderick, Saba Q. Yahyaa
The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study. ESANN (2012)
Ruben Hillewaere, Bernard Manderick, Darrell Conklin
Alignment Methods for Folk Tune Classification. GfKl (2012)
Ruben Hillewaere, Bernard Manderick, Darrell Conklin
String Methods for Folk Tune Genre Classification. ISMIR (2012)
David Catteeuw, Bernard Manderick
Heterogeneous Populations of Learning Agents in the Minority Game. ALA (2011)
Yifei Chen, Feng Liu, Bernard Manderick
A machine learning-based system to normalise gene mentions to unique database identifiers. Int. J. Data Min. Bioinform. 5 (6) (2011)
Yifei Chen, Feng Liu, Bernard Manderick
BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (3) (2010)
Ruben Hillewaere, Bernard Manderick, Darrell Conklin
String Quartet Classification with Monophonic Models. ISMIR (2010)
Yifei Chen, Feng Liu, Bernard Manderick
BioLMiner and the BioCreative II.5 challenge. BMC Bioinform. 11 (S-5) (2010)
David Catteeuw, Bernard Manderick
Learning in Minority Games with Multiple Resources. ECAL (2) (2009)
Ruben Hillewaere, Bernard Manderick, Darrell Conklin
Global Feature Versus Event Models for Folk Song Classification. ISMIR (2009)
David Catteeuw, Bernard Manderick
Learning in the time-dependent minority game. GECCO (Companion) (2009)
Yifei Chen, Feng Liu, Bram Vanschoenwinkel, Bernard Manderick
Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions. J. Univers. Comput. Sci. 15 (13) (2009)
Yifei Chen, Feng Liu, Bernard Manderick
Evaluating and Comparing Biomedical Term Identification Systems. ICIC (1) (2008)
Sam Maes, Stijn Meganck, Bernard Manderick
Inference in multi-agent causal models. Int. J. Approx. Reason. 46 (2) (2007)
Feng Liu, Yifei Chen, Bernard Manderick
Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields. ICEIS (Selected Papers) (2007)
Feng Liu, Yifei Chen, Bernard Manderick
Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. ICEIS (2) (2007)
Yifei Chen, Feng Liu, Bernard Manderick
Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine. DMIN (2007)
Stijn Meganck, Philippe Leray, Bernard Manderick
Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU (2007)
Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick
Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models (2006)
Stijn Meganck, Philippe Leray, Bernard Manderick
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI (2006)
Sam Maes, Stijn Meganck, Bernard Manderick
Causal Inference in Multi-Agent Causal Models. BNAIC (2005)
Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
A Learning Algorithm for Multi-Agent Causal Models. EUMAS (2005)
Sam Maes, Stijn Meganck, Bernard Manderick
Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications (2005)
Bram Vanschoenwinkel, Bernard Manderick
Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. BNAIC (2005)
Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
Distributed learning of Multi-Agent Causal Models. IAT (2005)
Sam Maes, Stijn Meganck, Bernard Manderick
Identification in Chain Multi-Agent Causal Models. FLAIRS Conference (2005)
Peter Waiganjo Wagacha, Bernard Manderick, Maina Muuro
On Support Vector and Relevance Vector Machines. BNAIC (2005)
Bernard Manderick, Sam Maes, Stijn Meganck
Causal Inference in Multi-Agent Causal Models. EGC (Ateliers) (2005)
Bram Vanschoenwinkel, Feng Liu, Bernard Manderick
Context-Sensitive Kernel Functions: A Distance Function Viewpoint. ICMLC (2005)
Piet van Remortel, Bernard Manderick, Tom Lenaerts
Gene Interaction and Modularisation in a Model for Gene-Regulated Development. Evolvable Hardware (2004)
Bram Vanschoenwinkel, Bernard Manderick
Substitution matrix based kernel functions for protein secondary structure prediction. ICMLA (2004)
Karl Tuyls, Ann Nowé, Tom Lenaerts, Bernard Manderick
An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. Synth. 139 (2) (2004)
Bram Vanschoenwinkel, Bernard Manderick
Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. Deterministic and Statistical Methods in Machine Learning (2004)
Bram Vanschoenwinkel, Bernard Manderick
A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. IJCAI (2003)
Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick
Developmental Effects on Tuneable Fitness Landscapes. ICES (2003)
Thomas Hamelryck, Bernard Manderick
PDB file parser and structure class implemented in Python. Bioinform. 19 (17) (2003)
Sam Maes, Joke Reumers, Bernard Manderick
Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT (2003)
Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML (2003)
Karl Tuyls, Sam Maes, Bernard Manderick
Reinforcement Learning in Large State Spaces. RoboCup (2002)
Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
Evaluation of a Simple Multi-Level Selection Model. GECCO Late Breaking Papers (2002)
Piet van Remortel, Tom Lenaerts, Bernard Manderick
Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. Australian Joint Conference on Artificial Intelligence (2002)
Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
An Individual-based Approach To Multi-level Selection. GECCO (2002)
Karl Tuyls, Sam Maes, Bernard Manderick
Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA (2002)
Piet van Remortel, Tom Lenaerts, Bernard Manderick
The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. Evolvable Hardware (2002)
Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick
Transitions in a Simple Evolutionary Model. ECAL (2001)
Tom Lenaerts, Bernard Manderick
Building a Genetic Programming Framework: The Added-Value of Design Patterns. EuroGP (1998)
Ian Frank, Bernard Manderick, Tetsuya Higuchi
Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems). Evol. Comput. 5 (1) (1997)
Piet Spiessens, Bernard Manderick
Finding Optimal Representations Using the Crossover Correlation Coefficient. SBIA (1996)
Bernard Manderick, Tetsuya Higuchi
Evolvable Hardware: An Outlook. ICES (1996)
Wim Hordijk, Bernard Manderick
The Usefulness of Recombination. ECAL (1995)
Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick
Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware (1995)
Hiroaki Inayoshi, Bernard Manderick
The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. PPSN (1994)
Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick
Applying Evolvable Hardware to Autonomous Agents. PPSN (1994)
Piet Spiessens, Bernard Manderick
A Massively Parallel Genetic Algorithm: Implementation and First Analysis. ICGA (1991)
Bernard Manderick, Mark K. de Weger, Piet Spiessens
The Genetic Algorithm and the Structure of the Fitness Landscape. ICGA (1991)
Bernard Manderick
Selectionist Categorization. PPSN (1990)
Bernard Manderick, Piet Spiessens
Fine-Grained Parallel Genetic Algorithms. ICGA (1989)