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Olivier François

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2008
15EEOlivier François: Convergence Analysis of Evolution Strategies with Random Numbers of Offspring. PPSN 2008: 21-30
2007
14EEOlivier François, Philippe Leray: Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN 2007: 2391-2396
2006
13EEOlivier François, Philippe Leray: Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models 2006: 91-98
12EENicolas Bortolussi, Eric Durand, Michael Blum, Olivier François: apTreeshape: statistical analysis of phylogenetic tree shape. Bioinformatics 22(3): 363-364 (2006)
2005
11 Olivier François, Philippe Leray: Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC 2005: 127-132
2003
10EEL. M. Ould Mohamed Abdallahi, C. La Rota, M. Béguin, Olivier François: Parameter estimation in a model for multidimensional recording of neuronal data: a Gibbsian approximation approach. Biological Cybernetics 89(3): 170-178 (2003)
9EEAlexis Bienvenüe, Olivier François: Global convergence for evolution strategies in spherical problems: some simple proofs and difficulties. Theor. Comput. Sci. 306(1-3): 269-289 (2003)
2001
8EEAlexis Bienvenüe, Marc Joannides, Jean Bérard, Éric Fontenas, Olivier François: Niching in Monte Carlo Filtering Algorithms. Artificial Evolution 2001: 19-30
7 Olivier François, Christian Lavergne: Design of evolutionary algorithms-A statistical perspective. IEEE Trans. Evolutionary Computation 5(2): 129-148 (2001)
2000
6 Olivier François: Large Derivations, Evolutionary Computation and Comparisons of Algorithms. PPSN 2000: 79-88
5 Olivier François, L. M. Ould Mohamed Abdallahi, J. Horikawa, I. Taniguchi, Thierry Hervé: Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex. Neural Computation 12(8): 1821-1838 (2000)
1998
4 Olivier François: An evolutionary strategy for global minimization and its Markov chain analysis. IEEE Trans. Evolutionary Computation 2(3): 77-90 (1998)
1996
3EEOlivier François: New rigorous results for the Hopfield's neural network model. Neural Networks 9(3): 503-507 (1996)
1992
2EEOlivier François, Jacques Demongeot, Thierry Hervé: Convergence of a self-organizing stochastic neural network. Neural Networks 5(2): 277-282 (1992)
1990
1 Thierry Hervé, Olivier François, Jacques Demongeot: Markovian Spatial Properties of a Random Field Describing a Stochastic Neural Network: Sequential of Parallel Implementation? EURASIP Workshop 1990: 81-89

Coauthor Index

1L. M. Ould Mohamed Abdallahi [5] [10]
2M. Béguin [10]
3Jean Bérard [8]
4Alexis Bienvenüe [8] [9]
5Michael Blum [12]
6Nicolas Bortolussi [12]
7Jacques Demongeot [1] [2]
8Eric Durand [12]
9Éric Fontenas [8]
10Thierry Hervé [1] [2] [5]
11J. Horikawa [5]
12Marc Joannides [8]
13Christian Lavergne [7]
14Philippe Leray [11] [13] [14]
15C. La Rota [10]
16I. Taniguchi [5]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)