PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NameMichele Sebag
TitleSenior Researcher
SiteCNRS-LRI/LM, Paris Sud
StatusResearcher
Tel+ 33 169 156 453
Fax+ 33 169 156 579
WWWwww.lri.fr/~sebag

Research Interests
Learning/Statistics & Optimisation
Theory & Algorithms
Brain Computer Interfaces
Information Retrieval & Textual Information Access
Publications

Number of records: 55.

A multi-objective multi-modal optimisation approach for mining stable spatio-temporal patterns Michele Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefevre and Sylvain Baillet Conference or Workshop Item (August 2005)
A note on phase transition and computational pitfalls of learning from sequences Antoine Cornuéjols and Michele Sebag Article (2006)
A phase transition-based perspective on multiple instance kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (2007)
A phase transition-based perspective on multiple instance kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (2007)
A Phase Transition-Based Perspective on Multiple Instance Kernels Romaric Gaudel, Michele Sebag and Antoine Cornuéjols Conference or Workshop Item (27 September 2007)
Adaptive Coordinate Descent Ilya Loshchilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (July 2011)
Adaptive Operator Selection with Dynamic Multi-Armed Bandits Luis DaCosta, Alvaro Fialho, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2008)
Alternative Restart Strategies for CMA-ES Ilya Loschilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)
Analysis of Adaptive Operator Selection Techniques on the Royal Road and Long K-Path Problems Alvaro Fialho, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2009)
Analyzing Bandit-based Adaptive Operator Selection Mechanisms Alvaro Fialho, Luis Da Costa, Marc Schoenauer and Michele Sebag Article (September 2010)
Anytime many-armed bandits Olivier Teytaud, Sylvain Gelly and Michele Sebag Conference or Workshop Item (2007)
APRIL: Active Preference Learning-Based Reinforcement Learning Riad Akrour, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)
Artificial Agents and Speculative Bubbles Yann Semet, Sylvain Gelly, Marc Schoenauer and Michele Sebag Conference or Workshop Item (September 2004)
Artificial Agents and Speculative Bubbles Yann Semet, Sylvain Gelly, Marc Schoenauer and Michele Sebag Conference or Workshop Item Item not available online. (2004)
Boosting Active Learning to Optimality: A tractable Monte-Carlo based Approach. Olivier Teytaud, Michele Sebag and Philippe Rolet Conference or Workshop Item (2009)
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michele Sebag and Olivier Teytaud Article Item not available online. (2009)
C4.5 Competence Map: A Phase Transition-inspired Approach Nicolas Baskiotis and Michele Sebag Conference or Workshop Item Item not available online. (July 2004)
C4.5 Competence Map: a Phase Transition-inspired Approach. Nicholas Baskiotis and Michele Sebag Conference or Workshop Item (July 2004)
Change Point Detection and meta-bandits for online learning in dynamic environments Cedric Hartland, Nicolas Baskiotis, Sylvain Gelly, Olivier Teytaud and Michele Sebag Article Item not available online. (2007)
Computation-time efficient and robust attribute tree mining with DryadeParent A Termier, M-C Rousset, Michele Sebag, K Ohara, T Washio and Hiroshi Motoda Conference or Workshop Item (2005)
Dryade: a new approach for discovering closed frequent trees in heterogeneous tree databases Alexandre Termier, Marie-Christine Rousset and Michele Sebag Conference or Workshop Item (November 2004)
Ensemble feature ranking Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori and Michele Sebag Conference or Workshop Item Item availablity restricted. (2004)
Ensemble Learning for Free with Evolutionary Algorithms ? Christian Gagné, Michele Sebag, Marc Schoenauer and Marco Tomassini Book Section (July 2007)
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking Kees Jong, Elena Marchiori and Michele Sebag Conference or Workshop Item Item availablity restricted. (September 2004)
EXIST : Exploitation/Exploration Inference for Statistical Software Testing Nicolas Baskiotis, Michele Sebag, Marie-Claude Gaudel and Sandrine Gouraud Conference or Workshop Item (December 2006)
Extreme Compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection Jorge Maturana, Alvaro Fialho, Frédéric Saubion, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2009)
Extreme Value Based Adaptive Operator Selection Alvaro Fialho, Luis DaCosta, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2008)
Fast Theta-Subsumption with Constraint Satisfaction Algorithms Jérôme Maloberti and Michele Sebag Article (May 2004)
Fault detection and diagnosis from the logging and bookkeping data Xiangliang Zhang, Cecile Germain and Michele Sebag Conference or Workshop Item (May 2007)
Feature Selection as a one-player game Romaric Gaudel and Michele Sebag Article (11 May 2010)
From Factorial and Hierarchical HMM to Bayesian Network : A Representation Change Algorithm Sylvain Gelly, Nicolas Bredeche and Michele Sebag Conference or Workshop Item (July 2005)
From Factorial and Hierarchical HMM to Bayesian Network : A Representation Change Algorithm Sylvain Gelly, Nicolas Bredeche and Michele Sebag Conference or Workshop Item Item not available online. (2005)
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization Vojtech Vojtech Krmicek and Michele Sebag Conference or Workshop Item (September 2006)
Gene Regulatory Network and Spatial Computation: A Case Study Sylvain Cussat-Blanc, Nicolas Bredeche, Hervé Luga, Yves Duthen and Michele Sebag Conference or Workshop Item (2011)
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection Christian Gagné, Marc Schoenauer, Michele Sebag and Marco Tomassini Conference or Workshop Item (September 2006)
Inference dans les HMM hierarchiques et factorises : changement de representation vers le formalisme des Reseaux Bayesien Sylvain Gelly, Nicolas Bredeche and Michele Sebag Conference or Workshop Item Item not available online. (15 January 2005)
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach Mathieu Roche, Jérome Azé, Yves Kodratoff and Michele Sebag Conference or Workshop Item Item not available online. (August 2004)
Learning to order terms: supervised interestingness measures in terminology extraction Jérome Azé, Mathieu Roche, Yves Kodratoff and Michele Sebag Article Item not available online. (30 November 2004)
Machine Learning Journal, Special Issue on Inductive Logic Programming and Relational Learning Book Item not available online. (May 2004)
Modelling the jobs of a Grid System Xiangliang Zhang, Michele Sebag and Cecile Germain Conference or Workshop Item Item not available online. (January 2008)
Not all parents are equal for MO-CMA-ES Ilya Loshchilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (April 2011)
Optimal robust expensive optimization is tractable Philippe Rolet, Olivier Teytaud and Michele Sebag Article Item not available online. (2009)
Phase transition within grammatical inference Nicolas Pernot, Antoine Cornuéjols and Michele Sebag Conference or Workshop Item (30 July 2005)
Phase Transitions within Grammatical Inference N Pernot, Antoine Cornuéjols and Michele Sebag Conference or Workshop Item (2005)
Pilot, Rollout and Monte Carlo Tree Search Methods for Combinatorial Optimization Thomas Runarsson, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)
Preference-Based Policy Learning Riad Akrour, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)
Reseau Bayesien Aplati pour l'Inférence dans les HMM hiérarchiques factorisés et Apprentissage avec peu de données Sylvain Gelly, Nicolas Bredeche and Michele Sebag Conference or Workshop Item Item not available online. (2005)
Revue des Nouvelles Technologies de l'Information (RNTI-2), numéro spécial "Mesures de qualité pour la fouille de données" Book Item not available online. (April 2004)
Robustness in the long run: Auto-teaching vs Anticipation in Evolutionary Robotics Nicolas Godzik, Marc Schoenauer and Michèle Sebag Conference or Workshop Item (September 2004)
Scalability and efficiency in multi-relational data mining Hendrik Blockeel and Michele Sebag Article Item not available online. (2003)
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy Ilya Loschilov, Marc Schoenauer and Michele Sebag Conference or Workshop Item (2012)
Structural Statistical Software Testing with Active Learning in a Graph Nicolas Baskiotis and Michele Sebag Conference or Workshop Item (2007)
The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions Sylvain Gelly, Marc Schoenauer, Michele Sebag, Olivier Teytaud, L. Kocsis, David Silver and Csaba Szepesvari Article Item not available online. (2012)
Toward behavioral modeling of a grid system:mining the logging and bookkeeping files Xiangliang Zhang, Michele Sebag and Cecile Germain Conference or Workshop Item (October 2007)
Weakly supervised clustering: hydridizing constructive induction and double clustering Xiangliang Zhang, Michele Sebag and Cecile Germain Conference or Workshop Item (June 2007)

This list was generated on Thu Nov 27 14:33:20 GMT 2014.