| 2009 |
|---|
| 18 | EE | Nur Merve Amil,
Nicolas Bredeche,
Christian Gagné,
Sylvain Gelly,
Marc Schoenauer,
Olivier Teytaud:
A Statistical Learning Perspective of Genetic Programming.
EuroGP 2009: 327-338 |
| 2008 |
|---|
| 17 | EE | Nicolas Bredeche:
A Multi-cellular Developmental System in Continuous Space Using Cell Migration.
SAB 2008: 260-269 |
| 2007 |
|---|
| 16 | EE | Alexandre Devert,
Nicolas Bredeche,
Marc Schoenauer:
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny.
Artificial Evolution 2007: 278-290 |
| 15 | EE | Alexandre Devert,
Nicolas Bredeche,
Marc Schoenauer:
Robust multi-cellular developmental design.
GECCO 2007: 982-989 |
| 14 | EE | Alexandre Devert,
Nicolas Bredeche,
Marc Schoenauer:
Robust Multi-Cellular Developmental Design
CoRR abs/0705.1309: (2007) |
| 2006 |
|---|
| 13 | EE | Alexandre Devert,
Nicolas Bredeche,
Marc Schoenauer:
Blindbuilder: A New Encoding to Evolve Lego-Like Structures.
EuroGP 2006: 61-72 |
| 12 | EE | Louis Hugues,
Nicolas Bredeche:
Simbad: An Autonomous Robot Simulation Package for Education and Research.
SAB 2006: 831-842 |
| 11 | EE | Sylvain 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 |
| 8 | EE | Sylvain Gelly,
Olivier Teytaud,
Nicolas Bredeche,
Marc Schoenauer:
A statistical learning theory approach of bloat.
GECCO 2005: 1783-1784 |
| 7 | EE | Sylvain Gelly,
Nicolas Bredeche,
Michèle Sebag:
From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm.
SARA 2005: 107-120 |
| 2003 |
|---|
| 6 | EE | Nicolas Bredeche,
Zhongzhi Shi,
Jean-Daniel Zucker:
Perceptual Learning and Abstraction in Machine Learning.
IEEE ICCI 2003: 18-25 |
| 5 | EE | Nicolas 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 |
|---|
| 4 | EE | Nicolas Bredeche,
Yann Chevaleyre,
Louis Hugues:
Wrapper for Object Detection in an Autonomous Mobile Robot.
ICPR (2) 2002: 749-752 |
| 3 | EE | Nicolas Bredeche,
Jean-Daniel Zucker,
Yann Chevaleyre:
A Wrapper-Based Approach to Robot Learning Concepts from Images.
PRICAI 2002: 616 |
| 2 | EE | Jean-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 |
