Genetic Programming Bibliography entries for Olivier Teytaud

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GP coauthors/coeditors: Vincent Berthier, Hassen Doghmen, Sylvain Gelly, Nicolas Bredeche, Marc Schoenauer, Nur Merve Amil, Christian Gagne, Jean-Baptiste Hoock,

Genetic Programming Articles by Olivier Teytaud

Genetic Programming conference papers by Olivier Teytaud

  1. Jean-Baptiste Hoock and Olivier Teytaud. Progress Rate in Noisy Genetic Programming for Choosing lambda. In Jin-Kao Hao and Pierrick Legrand and Pierre Collet and Nicolas Monmarch and Evelyne Lutton and Marc Schoenauer editors, Artificial Evolution, pages 494-505, Angers, France, 2011. details

  2. J.-B. Hoock and O. Teytaud. Racing-Based Genetic Programming. In Anne Auger and Benjamin Doerr and Thomas Jansen and Per Kristian Lehre and Frank Neumann and Pietro S. Oliveto and Carsten Witt editors, 4th Workshop on Theory of Randomized Search Heuristics, ThRaSH'2010, Paris, 2010. details

  3. Jean-Baptiste Hoock and Olivier Teytaud. Bandit-Based Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 268-277, Istanbul, 2010. Springer. details

  4. Vincent Berthier and Hassen Doghmen and Olivier Teytaud. Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search. In Roberto Battiti editor, Learning and Intelligent OptimizatioN, LION 4, Venice, 2010. details

  5. Nur Merve Amil and Nicolas Bredeche and Christian Gagn\'e and Sylvain Gelly and Marc Schoenauer and Olivier Teytaud. A Statistical Learning Perspective of Genetic Programming. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 327-338, Tuebingen, 2009. Springer. details

  6. Olivier Teytaud. Slightly Beyond Turing's Computability for Studying Genetic Programming. In J\'er\^ome Olivier Durand-Lose and Maurice Margenstern editors, Proceedings of the 5th International Conference on Machines, Computations, and Universality, MCU 2007, volume 4664, pages 279-290, Orl\'eans, France, 2007. Springer. details

  7. Olivier Teytaud. Why Simulation-Based Approaches with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 987-994, Vancouver, 2006. IEEE Press. details

  8. Sylvain Gelly and Olivier Teytaud and Nicolas Bredeche and Marc Schoenauer. Apprentissage statistique et programmation g\'en\'etique: la croissance du code est-elle in\'evitable?. In Fran\ccois Denis editor, Actes de CAP 05, Conf\'erence francophone sur l'apprentissage automatique, pages 163-178, Nice, France, 2005. PUG. A Statistical Learning Theory Approach of Bloat. details

  9. Sylvain Gelly and Olivier Teytaud and Nicolas Bredeche and Marc Schoenauer. A statistical learning theory approach of bloat. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1783-1784, Washington DC, USA, 2005. ACM Press. details

Genetic Programming other entries for Olivier Teytaud