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Sylvain Gelly :
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Sylvain Gelly , Nicolas Bredeche , Michèle Sebag HMM hiérarchiques et factorisés: mécanisme d'inférence et apprentissage à partir de peu de données. [Citation Graph (0, 0)][DBLP ] CAP, 2005, pp:143-144 [Conf ] Sylvain Gelly , Jérémie Mary , Olivier Teytaud Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management. [Citation Graph (0, 0)][DBLP ] CAP, 2005, pp:183-184 [Conf ] Sylvain Gelly , Olivier Teytaud Statistical asymptotic and non-asymptotic consistency of bayesian networks: convergence to the right structure and consistent probability estimates. [Citation Graph (0, 0)][DBLP ] CAP, 2005, pp:147-162 [Conf ] Sylvain Gelly , Olivier Teytaud , Nicolas Bredeche , Marc Schoenauer Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable? [Citation Graph (0, 0)][DBLP ] CAP, 2005, pp:163-178 [Conf ] Sylvain Gelly , Jérémie Mary , Olivier Teytaud Learning for stochastic dynamic programming. [Citation Graph (0, 0)][DBLP ] ESANN, 2006, pp:191-196 [Conf ] Sylvain Gelly , Olivier Teytaud , Nicolas Bredeche , Marc Schoenauer A statistical learning theory approach of bloat. [Citation Graph (0, 0)][DBLP ] GECCO, 2005, pp:1783-1784 [Conf ] Olivier Teytaud , Sylvain Gelly General Lower Bounds for Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP ] PPSN, 2006, pp:21-31 [Conf ] Olivier Teytaud , Sylvain Gelly , Jérémie Mary On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy. [Citation Graph (0, 0)][DBLP ] PPSN, 2006, pp:32-41 [Conf ] Sylvain Gelly , Nicolas Bredeche , Michèle Sebag From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm. [Citation Graph (0, 0)][DBLP ] SARA, 2005, pp:107-120 [Conf ] Olivier Teytaud , Sylvain Gelly DCMA: yet another derandomization in covariance-matrix-adaptation. [Citation Graph (0, 0)][DBLP ] GECCO, 2007, pp:955-963 [Conf ] Olivier Teytaud , Sylvain Gelly Nonlinear programming in approximate dynamic programming - bang-bang solutions, stock-management and unsmooth penalties. [Citation Graph (0, 0)][DBLP ] ICINCO-ICSO, 2007, pp:47-54 [Conf ] Olivier Teytaud , Sylvain Gelly , Jérémie Mary Active learning in regression, with application to stochastic dynamic programming. [Citation Graph (0, 0)][DBLP ] ICINCO-ICSO, 2007, pp:198-205 [Conf ] Sylvain Gelly , David Silver Combining online and offline knowledge in UCT. [Citation Graph (0, 0)][DBLP ] ICML, 2007, pp:273-280 [Conf ] Achieving Master Level Play in 9 x 9 Computer Go. [Citation Graph (, )][DBLP ] A Statistical Learning Perspective of Genetic Programming. [Citation Graph (, )][DBLP ] The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning. [Citation Graph (, )][DBLP ] Artificial Agents and Speculative Bubbles [Citation Graph (, )][DBLP ] Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.002secs