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Olivier François
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2010 – 2019
- 2015
- [i1]Olivier François:
Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment. CoRR abs/1507.06411 (2015) - 2010
- [j12]Michael G. B. Blum, Olivier François:
Non-linear regression models for Approximate Bayesian Computation. Stat. Comput. 20(1): 63-73 (2010)
2000 – 2009
- 2009
- [j11]Eric Durand, Chibiao Chen, Olivier François:
Comment on 'On the inference of spatial structure from population genetics data'. Bioinform. 25(14): 1802-1804 (2009) - 2008
- [c9]Olivier François:
Convergence Analysis of Evolution Strategies with Random Numbers of Offspring. PPSN 2008: 21-30 - 2007
- [c8]Olivier François, Philippe Leray:
Generation of Incompliete Test-Data usinng Bayesinan Networks. IJCNN 2007: 2391-2396 - 2006
- [b1]Olivier François:
De l'identification de structure de réseaux bayésiens à la reconnaissance de formes à partir d'informations complètes ou incomplètes. (Bayesian Network Identification from Complete or Incomplete Datasets). INSA de Rouen, France, 2006 - [j10]Nicolas Bortolussi, Eric Durand, Michael G. B. Blum, Olivier François:
apTreeshape: statistical analysis of phylogenetic tree shape. Bioinform. 22(3): 363-364 (2006) - [c7]Olivier François, Philippe Leray:
Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. Probabilistic Graphical Models 2006: 91-98 - 2005
- [c6]Olivier François, Philippe Leray:
Apprentissage de structure des réseaux bayésiens et données incomplètes. EGC 2005: 127-132 - 2004
- [j9]Philippe Leray, Olivier François:
Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical. Rev. d'Intelligence Artif. 18(2): 169-193 (2004) - 2003
- [j8]L. M. Ould Mohamed Abdallahi, Camilo La Rota, Maryse Béguin, Olivier François:
Parameter estimation in a model for multidimensional recording of neuronal data: a Gibbsian approximation approach. Biol. Cybern. 89(3): 170-178 (2003) - [j7]Alexis 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
- [j6]Olivier François, Christian Lavergne:
Design of evolutionary algorithms-A statistical perspective. IEEE Trans. Evol. Comput. 5(2): 129-148 (2001) - [c5]Alexis Bienvenüe, Marc Joannides, Jean Bérard, Éric Fontenas, Olivier François:
Niching in Monte Carlo Filtering Algorithms. Artificial Evolution 2001: 19-30 - [c4]Alain Cercueil, Olivier François:
Monte Carlo simulation and population-based optimization. CEC 2001: 191-198 - 2000
- [j5]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 Comput. 12(8): 1821-1838 (2000) - [c3]Olivier François:
Large Derivations, Evolutionary Computation and Comparisons of Algorithms. PPSN 2000: 79-88
1990 – 1999
- 1999
- [c2]Olivier François:
Controlling mutation/selection algorithms with stochastic approximation. CEC 1999: 1487-1493 - 1998
- [j4]Olivier François:
An evolutionary strategy for global minimization and its Markov chain analysis. IEEE Trans. Evol. Comput. 2(3): 77-90 (1998) - 1996
- [j3]Olivier François:
Convergence in Simulated Evolution Algorithms. Complex Syst. 10(4) (1996) - [j2]Olivier François:
New rigorous results for the Hopfield's neural network model. Neural Networks 9(3): 503-507 (1996) - 1992
- [j1]Olivier François, Jacques Demongeot, Thierry Hervé:
Convergence of a self-organizing stochastic neural network. Neural Networks 5(2): 277-282 (1992) - 1990
- [c1]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
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