Michele Sebag
Michele Sebag
Senior Researcher
Correu electrònic verificat a lri.fr - Pàgina d'inici
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Extending population-based incremental learning to continuous search spaces
M Sebag, A Ducoulombier
International Conference on Parallel Problem Solving from Nature, 418-427, 1998
3111998
Treefinder: a first step towards xml data mining
A Termier, MC Rousset, M Sebag
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 450-457, 2002
2822002
Collaborative hyperparameter tuning
R Bardenet, M Brendel, B Kégl, M Sebag
International conference on machine learning, 199-207, 2013
2812013
The grand challenge of computer Go: Monte Carlo tree search and extensions
S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ...
Communications of the ACM 55 (3), 106-113, 2012
2652012
Adaptive operator selection with dynamic multi-armed bandits
L DaCosta, A Fialho, M Schoenauer, M Sebag
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
1602008
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III
JL Balcázar, F Bonchi, A Gionis, M Sebag
Springer, 2010
1442010
Analyzing bandit-based adaptive operator selection mechanisms
Á Fialho, L Da Costa, M Schoenauer, M Sebag
Annals of Mathematics and Artificial Intelligence 60 (1-2), 25-64, 2010
1362010
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings
JL Balcázar, F Bonchi, A Gionis, M Sebag
Springer, 2010
1342010
BenchNN: On the broad potential application scope of hardware neural network accelerators
T Chen, Y Chen, M Duranton, Q Guo, A Hashmi, M Lipasti, A Nere, S Qiu, ...
2012 IEEE International Symposium on Workload Characterization (IISWC), 36-45, 2012
1232012
Extreme value based adaptive operator selection
Á Fialho, L Da Costa, M Schoenauer, M Sebag
International Conference on Parallel Problem Solving from Nature, 175-184, 2008
1152008
Data streaming with affinity propagation
X Zhang, C Furtlehner, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
1102008
April: Active preference learning-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
1072012
Compact unstructured representations for evolutionary design
H Hamda, F Jouve, E Lutton, M Schoenauer, MÈ Sebag
Applied intelligence 16 (2), 139-155, 2002
1072002
Multi-armed bandit, dynamic environments and meta-bandits
C Hartland, S Gelly, N Baskiotis, O Teytaud, M Sebag
1052006
Exploration vs exploitation vs safety: Risk-aware multi-armed bandits
N Galichet, M Sebag, O Teytaud
Asian Conference on Machine Learning, 245-260, 2013
982013
Preference-based policy learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
982011
Feature selection as a one-player game
R Gaudel, M Sebag
International Conference on Machine Learning, 359--366, 2010
972010
DRYADE: a new approach for discovering closed frequent trees in heterogeneous tree databases
A Termier, MC Rousset, M Sebag
Fourth IEEE International Conference on Data Mining (ICDM'04), 543-546, 2004
962004
Scalability and efficiency in multi-relational data mining
H Blockeel, M Sebag
ACM SIGKDD Explorations Newsletter 5 (1), 17-30, 2003
952003
Data stream clustering with affinity propagation
X Zhang, C Furtlehner, C Germain-Renaud, M Sebag
IEEE Transactions on Knowledge and Data Engineering 26 (7), 1644-1656, 2013
932013
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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