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Displaying 1-7 out of 7 total
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Cosmin Lazar,Jonatan Taminau,Stijn Meganck,David Steenhoff,Alain Coletta,David Y. Weiss Solis,Colin Molter,Robin Duque,Hugues Bersini,Ann Nowe
Issue Date:March 2013
pp. 383-392
The potential of microarray gene expression (MAGE) data is only partially explored due to the limited number of samples in individual studies. This limitation can be surmounted by merging or integrating data sets originating from independent MAGE experimen...
 
Online organization of chaotic cell assemblies. A model for the cognitive map formation?
Found in: Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter
Issue Date:June 2009
pp. 2771-2777
While fixed point dynamics is still the predominant regime used for information processing, recent brain observations and computational results suggest more and more the importance/necessity to include and rely on more complex dynamics. Independently, sinc...
 
Three Connectionist Implementations of Dynamic Programming for Optimal Control: A Preliminary Comparative Analysis
Found in: Neural Networks for Identification, Control, and Robotics, International Workshop
By Hugues Bersini, Vittorio Gorrini
Issue Date:August 1996
pp. 0428
Three optimal control methodologies all relying on neural network for their universal approximation capabilities and on dynamic programming for substituting the time-integral optimization by a succession of time-local optimizations are presented in this pa...
 
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Alain Coletta, Ann Nowe, Colin Molter, Cosmin Lazar, David Steenhoff, David Y. Weiss Solis, Hugues Bersini, Jonatan Taminau, Robin Duque, Stijn Meganck
Issue Date:March 2013
pp. 383-392
The potential of microarray gene expression (MAGE) data is only partially explored due to the limited number of samples in individual studies. This limitation can be surmounted by merging or integrating data sets originating from independent MAGE experimen...
     
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Alain Coletta, Ann Nowe, Colin Molter, Cosmin Lazar, David Steenhoff, Hugues Bersini, Jonatan Taminau, Robin Duque, Stijn Meganck, Virginie de Schaetzen
Issue Date:July 2012
pp. 1106-1119
A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas li...
     
How an optimal observer can collapse the search space
Found in: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06)
By Christophe Philemotte, Hugues Bersini
Issue Date:July 2006
pp. 1273-1280
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search space. For instance, the Simple Genetic Algorithm (SGA) is not totally suite...
     
Intrinsic emergence boosts adaptive capacity
Found in: Proceedings of the 2005 conference on Genetic and evolutionary computation (GECCO '05)
By Christophe Philemotte, Hugues Bersini
Issue Date:June 2005
pp. 559-560
In this paper (full version: http://cs.nmu.edu/~jeffhorn/RFS) we extend the work of [3], which introduced a new niching algorithm, resource-based fitness sharing (RFS), and demonstrated its efficacy on shape nesting problems. RFS was applied to the nesting...
     
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