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Note: Links lead to the DBLP on the Web. Michèle Sebag Nicolas Godzik , Marc Schoenauer , Michèle Sebag: Evolving Symbolic Controllers. EvoWorkshops 2003 : 638-650 Michèle Sebag, Jérôme Azé , Noël Lucas : Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning. ICDM 2003 : 637-640 Marco Botta , Attilio Giordana , Lorenza Saitta , Michèle Sebag: Relational Learning as Search in a Critical Region. Journal of Machine Learning Research 4 : 431-463 (2003) Alexandre Termier , Marie-Christine Rousset , Michèle Sebag: TreeFinder: a First Step towards XML Data Mining. ICDM 2002 : 450-457 Jacques Ales Bianchetti , Céline Rouveirol , Michèle Sebag: Constraint-based Learning of Long Relational Concepts. ICML 2002 : 35-42 Alain Ratle , Michèle Sebag: A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars. ILP 2002 : 207-222 Hatem Hamda , François Jouve , Evelyne Lutton , Marc Schoenauer , Michèle Sebag: Compact Unstructured Representations for Evolutionary Design. Appl. Intell. 16 (2): 139-155 (2002) Céline Rouveirol , Michèle Sebag: Inductive Logic Programming, 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001, Proceedings Springer 2001 Alain Ratle , Michèle Sebag: Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming. Artificial Evolution 2001 : 255-266 Jérôme Maloberti , Michèle Sebag: Theta-Subsumption in a Constraint Satisfaction Perspective. ILP 2001 : 164-178 Alexandre Termier , Michèle Sebag, Marie-Christine Rousset : Combining Statistics and Semantics for Word and Document Clustering. Workshop on Ontology Learning 2001 Alain Ratle , Michèle Sebag: Grammar-guided genetic programming and dimensional consistency: application to non-parametric identification in mechanics. Appl. Soft Comput. 1 (1): 105-118 (2001) Attilio Giordana , Lorenza Saitta , Michèle Sebag, Marco Botta : Analyzing Relational Learning in the Phase Transition Framework. ICML 2000 : 311-318 Attilio Giordana , Lorenza Saitta , Michèle Sebag, Marco Botta : Can Relational Learning Scale Up? ISMIS 2000 : 31-39 Alain Ratle , Michèle Sebag: Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery. PPSN 2000 : 211-220 Michèle Sebag, Céline Rouveirol : Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching. Machine Learning 38 (1-2): 41-62 (2000) Marco Botta , Attilio Giordana , Lorenza Saitta , Michèle Sebag: Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999 : 178-189 Michèle Sebag: Constructive Induction: A Version Space-based Approach. IJCAI 1999 : 708-713 Alejandro Rosete-Suárez , ALberto Nogueira-Keeling , Alberto Ochoa-Rodríguez , Michèle Sebag: Hacia un Enfoque General del Trazado de Grafos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 8 : 18-26 (1999) Antoine Ducoulombier , Michèle Sebag: Continuous Mimetic Evolution. ECML 1998 : 334-345 Michèle Sebag: A Stochastic Simple Similarity. ILP 1998 : 95-105 Michèle Sebag, Antoine Ducoulombier : Extending Population-Based Incremental Learning to Continuous Search Spaces. PPSN 1998 : 418-427 Michèle Sebag, Marc Schoenauer , Mathieu Peyral : Revisiting the Memory of Evolution. Fundam. Inform. 35 (1-4): 125-162 (1998) Olivier Gascuel , Bernadette Bouchon-Meunier , Gilles Caraux , Patrick Gallinari , Alain Guénoche , Yann Guermeur , Yves Lechevallier , Christophe Marsala , Laurent Miclet , Jacques Nicolas , Richard Nock , Mohammed Ramdani , Michèle Sebag, Basavanneppa Tallur , Gilles Venturini , Patrick Vitte : Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. IJPRAI 12 (4): 517-571 (1998) Mathieu Peyral , Antoine Ducoulombier , Caroline Ravise , Marc Schoenauer , Michèle Sebag: Mimetic Evolution. Artificial Evolution 1997 : 81-94 Michèle Sebag, Marc Schoenauer , Caroline Ravise : Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization. Evolutionary Programming 1997 : 247-261 Michèle Sebag, Marc Schoenauer , Caroline Ravise : Toward Civilized Evolution: Developing Inhibitions. ICGA 1997 : 291-298 Michèle Sebag, Céline Rouveirol : Tractable Induction and Classification in First Order Logic Via Stochastic Matching. IJCAI (2) 1997 : 888-893 Michèle Sebag: Distance Induction in First Order Logic. ILP 1997 : 264-272 Michèle Sebag, Caroline Ravise , Marc Schoenauer : Controlling Evolution by Means of Machine Learning. Evolutionary Programming 1996 : 57-66 Caroline Ravise , Michèle Sebag: An Advanced Evolution Should Not Repeat its Past Errors. ICML 1996 : 400-408 Michèle Sebag: Delaying the Choice of Bias: A Disjunctive Version Space Approach. ICML 1996 : 444-452 Michèle Sebag, Céline Rouveirol : Polynomial-Time Learning in Logic Programming and Constraint Logic Programming. Inductive Logic Programming Workshop 1996 : 105-126 Michèle Sebag, Marc Schoenauer : Mutation by Imitation in Boolean Evolution Strategies. PPSN 1996 : 356-365 Michèle Sebag, Céline Rouveirol , Jean-Francois Puget : Induction of Constraint Logic Programs. PRICAI Workshops 1996 : 148-167 Caroline Ravise , Michèle Sebag, Marc Schoenauer : Induction-Based Control of Genetic Algorithms. Artificial Evolution 1995 : 100-119 Michèle Sebag, Marc Schoenauer , Caroline Ravise : An Induction-based Control for Genetic Algorithms (Extended Abstract). ECML 1995 : 351-355 Michèle Sebag: Using Constraints to Building Version Spaces. ECML 1994 : 257-271 Michèle Sebag: A Constraint-based Induction Algorithm in FOL. ICML 1994 : 275-283 Michèle Sebag, Marc Schoenauer : Controlling Crossover through Inductive Learning. PPSN 1994 : 209-218 Michèle Sebag, Marc Schoenauer : A Rule-Based Similarity Measure. EWCBR 1993 : 119-131 Michèle Sebag, Marc Schoenauer : Learning to Control Inconsistent Knowledge. ECAI 1992 : 479-483 Michèle Sebag, Marc Schoenauer : Using Examples to Refine a Redundant Knowledge Base. EUROVAV 1991 : 227-236 Marc Schoenauer , Michèle Sebag: Incremental Learning of Rules and Meta-rules. ML 1990 : 49-57 1 [ 43 ] 2 [ 40 ] 3 [ 28 ] [ 31 ] [ 32 ] [ 42 ] 4 [ 21 ] 5 [ 21 ] 6 [ 20 ] [ 23 ] [ 25 ] 7 [ 21 ] 8 [ 21 ] 9 [ 28 ] [ 31 ] [ 32 ] [ 42 ] 10 [ 44 ] 11 [ 21 ] 12 [ 21 ] 13 [ 38 ] 14 [ 38 ] 15 [ 21 ] 16 [ 43 ] 17 [ 38 ] 18 [ 35 ] 19 [ 21 ] 20 [ 21 ] 21 [ 21 ] 22 [ 21 ] 23 [ 26 ] 24 [ 26 ] 25 [ 20 ] [ 22 ] 26 [ 10 ] 27 [ 21 ] 28 [ 30 ] [ 33 ] [ 36 ] [ 39 ] 29 [ 8 ] [ 9 ] [ 14 ] [ 15 ] [ 18 ] [ 19 ] [ 20 ] 30 [ 26 ] 31 [ 34 ] [ 41 ] 32 [ 10 ] [ 12 ] [ 17 ] [ 29 ] [ 37 ] [ 40 ] 33 [ 28 ] [ 31 ] [ 32 ] [ 42 ] 34 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 8 ] [ 9 ] [ 11 ] [ 15 ] [ 18 ] [ 19 ] [ 20 ] [ 22 ] [ 38 ] [ 44 ] 35 [ 21 ] 36 [ 34 ] [ 41 ] 37 [ 21 ] 38 [ 21 ]  ©2004 Association for Computing Machinery |
