Searching for authors named "Bernard Manderick" – sorted by Relevance.
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Population Flow on Fitness Landscapes
- for further research. 1.3 Acknowledgements First of all I want to thank my supervisor Bernard Manderick
- Cited by 6 (2 self) – Add To MetaCart
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A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines
- Ambiguities with Support Vector Machines Bram Vanschoenwinkel Bernard Manderick Vrije Universiteit Brussel
- Cited by 8 (4 self) – Add To MetaCart
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Substitution Matrix Based Kernel Functions for Protein Secondary Structure Prediction
- kernel we do not have to Bernard Manderick Vrije Universiteit Brussel Computational Modeling Lab
- Cited by 6 (2 self) – Add To MetaCart
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Context-Sensitive Kernel Functions: A Comparison Between Different Context Weights
- Vanschoenwinkel ∗a Bernard Manderick a a Computational Modeling Lab, Vrije Universiteit Brussel, Pleinlaan 2, 1050
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Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data
- Bram Vanschoenwinkel ⋆ and Bernard Manderick Vrije Universiteit Brussel, Computational Modeling Lab
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Reinforcement Learning in Large State Spaces: Simulated Robotic Soccer as a testbed
- Tuyls, and Bernard Manderick Computational Modeling Lab (COMO) Department of Computer Science Vrije
- Cited by 1 (0 self) – Add To MetaCart
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Modeling a Multi-Agent Environment Combining Influence Diagrams
- , and Bernard Manderick 1 1 Computational Modeling Lab (COMO), Department of Computer Science, Vrije
- Cited by 2 (0 self) – Add To MetaCart
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Identification in Chain Multi-Agent Causal Models
- In this paper we introduce chain multi-agent causal models which are an extension of causal Bayesian networks to a multi-agent setting. Instead of 1 single agent modeling the entire domain, there are several agents organised in a chain, each modeling non-disjoint subsets of the domain. Every ag
- Cited by 1 (1 self) – Add To MetaCart
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Credit Card Fraud Detection Using Bayesian and Neural Networks
- Vanschoenwinkel Bernard Manderick Vrije Universiteit Brussel - Department of Computer Science Computational
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Weighted Kernel Functions for SVM Learning in String Domains: A Distance Function Viewpoint
- VANSCHOENWINKEL ∗1 , FENG LIU 1 , BERNARD MANDERICK 1 1 Computational Modeling Lab, Department of Informatics
- Cited by 1 (1 self) – Add To MetaCart

