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Bernard Manderick: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sam Maes, Stijn Meganck, Bernard Manderick
    Identification of Causal Effects in Multi-Agent Causal Models. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2005, pp:178-182 [Conf]
  2. Piet van Remortel, Tom Lenaerts, Bernard Manderick
    Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:321-332 [Conf]
  3. Bram Vanschoenwinkel, Bernard Manderick
    Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:283-290 [Conf]
  4. Peter Waiganjo Wagascha, Bernard Manderick, Maina Muuro
    On Support Vector and Relevance Vector Machines. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:297-304 [Conf]
  5. Sam Maes, Stijn Meganck, Bernard Manderick
    Causal Inference in Multi-Agent Causal Models. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:367-368 [Conf]
  6. Bram Vanschoenwinkel, Bernard Manderick
    Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:256-280 [Conf]
  7. Wim Hordijk, Bernard Manderick
    The Usefulness of Recombination. [Citation Graph (0, 0)][DBLP]
    ECAL, 1995, pp:908-919 [Conf]
  8. Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick
    Transitions in a Simple Evolutionary Model. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:436-439 [Conf]
  9. Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
    Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:421-431 [Conf]
  10. Piet van Remortel, Tom Lenaerts, Bernard Manderick
    The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2002, pp:26-35 [Conf]
  11. Piet van Remortel, Bernard Manderick, Tom Lenaerts
    Gene Interaction and Modularisation in a Model for Gene-Regulated Development. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2004, pp:253-260 [Conf]
  12. Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
    A Learning Algorithm for Multi-Agent Causal Models. [Citation Graph (0, 0)][DBLP]
    EUMAS, 2005, pp:190-201 [Conf]
  13. Tom Lenaerts, Bernard Manderick
    Building a Genetic Programming Framework: The Added-Value of Design Patterns. [Citation Graph (0, 0)][DBLP]
    EuroGP, 1998, pp:196-208 [Conf]
  14. Sam Maes, Stijn Meganck, Bernard Manderick
    Identification in Chain Multi-Agent Causal Models. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:791-792 [Conf]
  15. Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
    An Individual-based Approach To Multi-level Selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:136- [Conf]
  16. Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
    Evaluation of a Simple Multi-Level Selection Model. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:323-329 [Conf]
  17. Sam Maes, Joke Reumers, Bernard Manderick
    Identifiability of Causal Effects in a Multi-Agent Causal Model. [Citation Graph (0, 0)][DBLP]
    IAT, 2003, pp:605-608 [Conf]
  18. Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
    Distributed learning of Multi-Agent Causal Models. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:285-288 [Conf]
  19. Bernard Manderick, Tetsuya Higuchi
    Evolvable Hardware: An Outlook. [Citation Graph (0, 0)][DBLP]
    ICES, 1996, pp:305-311 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    Towards Evolvable Hardware, 1995, pp:118-135 [Conf]
  21. Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick
    Developmental Effects on Tuneable Fitness Landscapes. [Citation Graph (0, 0)][DBLP]
    ICES, 2003, pp:117-128 [Conf]
  22. Bernard Manderick, Piet Spiessens
    Fine-Grained Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:428-433 [Conf]
  23. Bernard Manderick, Mark K. de Weger, Piet Spiessens
    The Genetic Algorithm and the Structure of the Fitness Landscape. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:143-150 [Conf]
  24. Piet Spiessens, Bernard Manderick
    A Massively Parallel Genetic Algorithm: Implementation and First Analysis. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:279-287 [Conf]
  25. Karl Tuyls, Sam Maes, Bernard Manderick
    Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:226-232 [Conf]
  26. Bram Vanschoenwinkel, Feng Liu, Bernard Manderick
    Context-Sensitive Kernel Functions: A Distance Function Viewpoint. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:861-870 [Conf]
  27. Bram Vanschoenwinkel, Bernard Manderick
    A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:133-140 [Conf]
  28. Stijn Meganck, Philippe Leray, Bernard Manderick
    Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. [Citation Graph (0, 0)][DBLP]
    MDAI, 2006, pp:58-69 [Conf]
  29. Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick
    Applying Evolvable Hardware to Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:524-533 [Conf]
  30. Hiroaki Inayoshi, Bernard Manderick
    The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:617-625 [Conf]
  31. Bernard Manderick
    Selectionist Categorization. [Citation Graph (0, 0)][DBLP]
    PPSN, 1990, pp:326-330 [Conf]
  32. Karl Tuyls, Sam Maes, Bernard Manderick
    Reinforcement Learning in Large State Spaces. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:319-326 [Conf]
  33. Piet Spiessens, Bernard Manderick
    Finding Optimal Representations Using the Crossover Correlation Coefficient. [Citation Graph (0, 0)][DBLP]
    SBIA, 1996, pp:91-100 [Conf]
  34. Thomas Hamelryck, Bernard Manderick
    PDB file parser and structure class implemented in Python. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:17, pp:2308-2310 [Journal]
  35. Ian Frank, Bernard Manderick, Tetsuya Higuchi
    Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems). [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1997, v:5, n:1, pp:105-114 [Journal]
  36. Stijn Meganck, Philippe Leray, Bernard Manderick
    Causal Graphical Models with Latent Variables: Learning and Inference. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:5-16 [Conf]

  37. Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine. [Citation Graph (, )][DBLP]


  38. Learning in the time-dependent minority game. [Citation Graph (, )][DBLP]


  39. Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. [Citation Graph (, )][DBLP]


  40. Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields. [Citation Graph (, )][DBLP]


  41. Evaluating and Comparing Biomedical Term Identification Systems. [Citation Graph (, )][DBLP]


  42. Substitution matrix based kernel functions for protein secondary structure prediction. [Citation Graph (, )][DBLP]


  43. Learning Semi-Markovian Causal Models using Experiments. [Citation Graph (, )][DBLP]


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