dblp.uni-trier.dewww.uni-trier.de

Nicolas Bredeche Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

*2009
18EENur Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud: A Statistical Learning Perspective of Genetic Programming. EuroGP 2009: 327-338
2008
17EENicolas Bredeche: A Multi-cellular Developmental System in Continuous Space Using Cell Migration. SAB 2008: 260-269
2007
16EEAlexandre Devert, Nicolas Bredeche, Marc Schoenauer: Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny. Artificial Evolution 2007: 278-290
15EEAlexandre Devert, Nicolas Bredeche, Marc Schoenauer: Robust multi-cellular developmental design. GECCO 2007: 982-989
14EEAlexandre Devert, Nicolas Bredeche, Marc Schoenauer: Robust Multi-Cellular Developmental Design CoRR abs/0705.1309: (2007)
2006
13EEAlexandre Devert, Nicolas Bredeche, Marc Schoenauer: Blindbuilder: A New Encoding to Evolve Lego-Like Structures. EuroGP 2006: 61-72
12EELouis Hugues, Nicolas Bredeche: Simbad: An Autonomous Robot Simulation Package for Education and Research. SAB 2006: 831-842
11EESylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint. Revue d'Intelligence Artificielle 20(6): 805-827 (2006)
2005
10 Sylvain Gelly, Nicolas Bredeche, Michèle Sebag: HMM hiérarchiques et factorisés: mécanisme d'inférence et apprentissage à partir de peu de données. CAP 2005: 143-144
9 Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable? CAP 2005: 163-178
8EESylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer: A statistical learning theory approach of bloat. GECCO 2005: 1783-1784
7EESylvain Gelly, Nicolas Bredeche, Michèle Sebag: From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm. SARA 2005: 107-120
2003
6EENicolas Bredeche, Zhongzhi Shi, Jean-Daniel Zucker: Perceptual Learning and Abstraction in Machine Learning. IEEE ICCI 2003: 18-25
5EENicolas Bredeche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah: A meta-learning approach to ground symbols from visual percepts. Robotics and Autonomous Systems 43(2-3): 149-162 (2003)
2002
4EENicolas Bredeche, Yann Chevaleyre, Louis Hugues: Wrapper for Object Detection in an Autonomous Mobile Robot. ICPR (2) 2002: 749-752
3EENicolas Bredeche, Jean-Daniel Zucker, Yann Chevaleyre: A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI 2002: 616
2EEJean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta: Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273
2000
1 Nicolas Bredeche, Jean-Daniel Zucker: From Distributed Robot Perception to Human Topology: A Learning Model. DARS 2000: 469-470

Coauthor Index

1Nur Merve Amil [18]
2Yann Chevaleyre [3] [4] [5]
3Alexandre Devert [13] [14] [15] [16]
4Alexis Drogoul [5]
5Christian Gagné [18]
6Sylvain Gelly [7] [8] [9] [10] [11] [18]
7Louis Hugues [4] [12]
8Gérard Sabah [5]
9Lorenza Saitta [2]
10Marc Schoenauer [8] [9] [11] [13] [14] [15] [16] [18]
11Michèle Sebag [7] [10]
12Zhongzhi Shi [6]
13Olivier Teytaud [8] [9] [11] [18]
14Jean-Daniel Zucker [1] [2] [3] [5] [6]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)