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2004
- Learning to order terms: supervised interestingness measures in terminology extraction.
J. Aze, M. Roche, Y. Kodratoff, M. Sebag
International Journal on Computational Intelligence, 2004, pp 104-107
- Fast Theta-Subumption with Constraint Satisfaction Algorithms.
J. Maloberti and M. Sebag
Machine Learning Journal, 2004, pp 137-174
- Artificial Agents and Speculative Bubbles.
Y. Semet and S. Gelly and M. Schoenauer and M. Sebag
In "Computational Finance and its Applications, 2004. WIT Press pp 35--44
- ROC-based Evolutionary Learning: Application to Medical Data Mining.
M. Sebag and J. Azé and N. Lucas
In Artificial Evolution'03, 2004. Springer Verlag LNCS 2936 pp 384-396
- Ensemble Feature Ranking.
K. Jong and J. Mary and A. Cornuejols and E. Marchiori and M. Sebag
In Proc. Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, J.-F. Boulicaut and F. Esposito and F. Giannotti and D. Pedreschi Ed, 2004. Springer-Verlag, LNAI 3202 pp 267-278
- Feature Selection in Proteomic Pattern Data with Support Vector Machines.
K. Jong and E. Marchiori and M. Sebag and A. van der Vaart
In IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004. IEEE pp 41--48
- Dryade: a new approach for discovering closed frequent trees in heterogeneous tree databases.
A. Termier and M.-C. Rousset and M. Sebag
In IEEE-Int. Conf. on Data Mining, ICDM04, 2004. pp 543--546
- C4.5 Competence Map: a Phase Transition-inspired Approach.
N. Baskiotis and M. Sebag
In Proc. Int. Conf. on Machine Learning, ICML 2004, R. Greiner and D. Schuurmans Ed, 2004. Morgan Kaufman pp 73--80
- Robustness in the long run: Auto-teaching vs Anticipation in Evolutionary Robotics.
N. Godzik and M. Schoenauer and M. Sebag
In Parallel Problem Solving from Nature VIII, X. Yao et al. Ed, 2004. Springer-Verlag, LNCS 3242 pp 932--941
- Ensemble Learning with Evolutionary Computation: Application to Feature Ranking.
K. Jong and E. Marchiori and M. Sebag
In Parallel Problem Solving from Nature VIII, X. Yao et al. Ed, 2004. Springer-Verlag, LNCS 3242 pp 1133--1142
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2003
- Scalability and efficiency in multi-relational data mining.
H. Blockeel and M. Sebag
ACM SIGKDD, Special Issue on Multi-Relational Data Mining, 2003, pp 17-30
- Relational Learning as Search in a Critical Region.
M. Botta and A. Giordana and L. Saitta and M. Sebag
Journal of Machine Learning Research, 2003, pp 431--463
- Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning.
M. Sebag and J. Azé and N. Lucas
In Proceedings of IEEE International Conference on Data Mining, ICDM03, 2003. pp 637-640
- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars.
A. Ratle and M. Sebag
In Proc. of Inductive Logic Programming, Stan Matwin and Claude Sammut Ed, 2003. Springer Verlag LNAI 2583 pp 207-222
- Evolving Symbolic Controllers.
N. Godzik and M. Schoenauer and M. Sebag
In Proceedings of EvoRobot 2003, A. Guillot and J.A. Meyer Ed, 2003. Springer Verlag LNCS 2611 pp 638--650
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2002
- Compact Unstructured Representations in Evolutionary Topological Optimum Design.
H. Hamda and F. Jouve and E. Lutton and M. Schoenauer and M. Sebag
Applied Intelligence, 2002, pp 139-155
- Avoiding the bloat with Probabilistic Grammar-guided Genetic Programming.
A. Ratle and M. Sebag
In Artificial Evolution, VI, P. Collet et al. Ed, 2002. Springer Verlag, LNCS 2310 pp 255-266
- TreeFinder: a First Step towards XML Data Mining.
A. Termier and M.-C. Rousset and M. Sebag
In Proceedings of IEEE International Conference on Data Mining, ICDM02, 2002. pp 450-457
- Constraint-based Learning of Long Relational Concepts.
J. Ales Bianchetti and C. Rouveirol and M. Sebag
In ICML02, C. Sammut Ed, 2002. Morgan Kaufmann pp 35-42
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2001
- Grammar-guided Genetic Programming and Dimensional Consistency: Application to non-parametric identification in Mechanics.
A. Ratle and M. Sebag
Applied Soft Computing, 2001, pp 1-14
- Theta-Subsumption in a Constraint Satisfaction perspective.
J. Maloberti and M. Sebag
In Proceedings of Inductive Logic Programming, 2001. Springer Verlag, LNAI 2157 pp 164--178
Papers :
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2000
- Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching.
M. Sebag and C. Rouveirol
Machine Learning Journal, 2000, pp 41-62
- Relational learning: Hard problems and Phase transition.
M. Botta and A. Giordana and L. Saitta and M. Sebag
In Selected papers from AIIA'99, 2000. Springer-Verlag pp 178--189
- La programmation logique inductive à la lumière de la transition de phase.
A. Giordana and L. Saitta and M. Sebag and M. Botta
In Conférence d'Apprentissage, CAP2000, C. de la Higuera Ed, 2000. Hermès pp 157-172
- Analyzing Relational Learning in the Phase Transition Framework.
A. Giordana and L. Saitta and M. Sebag and M. Botta
In Proc. of the Seventeenth International Conference on Machine Learning, P. Langley Ed, 2000. Morgan Kaufmann pp 311-318
- Genetic Programming and Domain Knowledge: Beyond the limitations of grammar-guided Machine Discovery.
A. Ratle and M. Sebag
In Parallel Problem Soving from Nature, PPSN-VI, M. Schoenauer et al. Ed, 2000. Springer Verlag, LNCS 1917 pp 211-220
Papers :
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1999
- From first-order logic to $N^d$: a data driven reformulation.
M. Sebag
In European Symposium on Artificial Neural Networks, 1999. DFacto pp 231--236
- Automatic Graph Drawing and Stochastic Hill-Climbing.
A. Rosete and A. Ochoa and M. Sebag
In Proc. of the Genetic and Evolutionary Computation Conf., 1999. Morgan Kaufmann pp 1699--1706
- Constructive Induction: A Version Space based Approach.
M. Sebag
In Proc. of Int. Conf. on Artificial Intelligence, 1999. Morgan Kaufmann pp 708--713
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1998
- Revisiting the Memory of Evolution.
M. Sebag and M. Schoenauer and M. Peyral
Fundamenta Informaticae, 1998, pp 1-39
- Supervised Classification : A comparison of twelve numerical symbolic and hybrid methods.
O. Gascuel and P. Gallinari and Et Al.
Int. Journal of Pattern Recognition and Artificial Intelligence, 1998, pp 517-572
- Evolution Mimétique, extension aux espaces réels.
A. Ducoulombier and M. Sebag
In 13emes Journées Francophones de l'Apprentissage, 1998. pp 162-173
- Continuous Mimetic Evolution.
A. Ducoulombier and M. Sebag
In Proceedings of ECML-98, C. Nedellec and C. Rouveirol Ed, 1998. Springer Verlag pp 334-345
- Induction of constraint logic programs.
M. Sebag and C. Rouveirol and J.F. Puget
In Learning and Reasoning with Complex Representations, G. Antonyou, A. Ghose and M. Truszczynski Ed, 1998. Springer Verlag LNAI 1359 pp 148-167
- A Stochastic Simple Similarity.
M. Sebag
In Proceedings of Inductive Logic Programming-98, D. Page Ed, 1998. Springer Verlag, LNAI 1446 pp 95-105
- DISTILL: Induction de distance en logique du premier ordre.
M. Sebag
In 13emes Journées Francophones de l'Apprentissage, 1998. pp 112-125
- Resource-Bounded Induction and Deduction in First Order Logic.
M. Sebag
In Proceedings of $4^th$ International Workshop on Multistrategy Learning, L. Saitta and R.S. Michalski Ed, 1998. pp
- Extending Population-Based Incremental Learning to Continuous Search Spaces.
M. Sebag and A. Ducoulombier
In Proceedings of the 5th Conference on Parallel Problems Solving from Nature, PPSN98editors, pages Ed, 1998. sv pp
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1997
- Identification de Modèles Rhéologiques par Programmation Génétique.
M. Sebag and M. Schoenauer and H. Maitournam
In Colloque National de Calcul des Structures, B. Peseux et al. Ed, 1997. Presse Académique de l'Ouest pp 177-182
- A Society of Hill-Climbers.
M. Sebag and M. Schoenauer
In Proceedings of the Fourth IEEE International Conference on Evolutionary Computation, 1997. IEEE Press pp 319-324
- Toward Civilized Evolution: Developping Inhibitions.
M. Sebag and M. Schoenauer and C. Ravisé
In , ICGA97editors, booktitle Ed, 1997. Morgan Kaufmann pp 291-298
- Tractable Induction and Classification in FOL.
M. Sebag and C. Rouveirol
In Proceedings of IJCAI-97, 1997. Morgan Kaufmann pp 888--892
- Polynomial-time Learning in Logic Programming and Constraint Logic Programming.
M. Sebag and C. Rouveirol
In Advances in ILP-II, S. Muggleton Ed, 1997. Springer-Verlag pp 105--126
- Distance Induction in FOL.
M. Sebag
In Proceedings of ILP-97, 1997. Springer Verlag, LNCS 1297 pp 264-272
- Inductive Learning of Mutation Step-size in Evolutionary Parameter Optimization.
M. Sebag and M. Schoenauer and C. Ravisé
In Proceedings of the 6th Annual Conference on Evolutionary Programming, EP97editors, publisher Ed, 1997. pp 247-261
- Mimetic Evolution.
M. Peyral and A. Ducoulombier and C. Ravisé and M. Schoenauer and M. Sebag
In Artificial Evolution'97, EA97editors, series Ed, 1997. Springer Verlag pp 71-79
- Appariement stochastique en logique des prédicats.
M. Sebag and C. Rouveirol
In 12emes Journées Francophones de l'Apprentissage, 1997. pp 65--76
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1996
- Contrôle d'un algorithme génétique.
M. Sebag and M. Schoenauer
Revue d'Intelligence Artificielle, 1996, pp 389-428
- Evolutionary Identification of Macro-Mechanical Models.
M. Schoenauer and M. Sebag and F. Jouve and B. Lamy and H. Maitournam
In Advances in Genetic Programming II, P. J. Angeline and K. E. Kinnear, Jr Ed, 1996. MIT Press pp 467-488
- Mutation by Imitation in Boolean Evolution Strategies.
M. Sebag and M. Schoenauer
In Proceedings of the 4th Conference on Parallel Problems Solving from Nature, PPSN96editors, pages Ed, 1996. PPSN96publisher pp
- Delaying the Choice of Bias: A Disjunctive Version Space Approach.
M. Sebag
In Proceedings of the 13th International Conference on Machine Learning, ICML96editors, publisher Ed, 1996. pp 444-452
- An Advanced Evolution should not repeat its past errors.
C. Ravisé and M. Sebag
In Proceedings of the 13th International Conference on Machine Learning, ICML96editors, publisher Ed, 1996. pp 400-408
- Constraint Inductive Logic Programming.
M. Sebag and C. Rouveirol
In Advances in ILP, L. de Raedt Ed, 1996. IOS Press pp 277--294
- Polynomial Approximate Learning in Constraint Logic Programming.
M. Sebag and C. Rouveirol
In Advances in ILP-II, S. Muggleton Ed, 1996. Springer-Verlag pp 105-126
- Controlling Evolution by Means of Machine Learning.
M. Sebag and C. Ravisé and M. Schoenauer
In Proceedings of the 5th Annual Conference on Evolutionary Programming, EP96editors, publisher Ed, 1996. pp 57-66
- ILP+Stochastic Bias.
M. Sebag and C. Rouveirol and J.F. Puget
In Proceedings of $3^nd$ International Workshop on Multistrategy Learning, 1996. AAAI Press pp
- Induction de Clauses Contraintes.
M. Sebag and C. Rouveirol
In Reconnaissance des Formes et Intelligence Artificielle, 1996. AFCET pp
- Evolutionary identification of rheological models..
Sebag, M. and Schoenauer, M. and Maitournam, M.H.
In EXPERSYS 96 (Expert Systems Applications in Artificial Intelligence), A. Niku-Lari Ed, 1996. IITT International pp 465-470
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1995
- $2^nd$ order Understandability of Disjunctive Version Spaces.
M. Sebag
In Workshop on Machine Learning and Comprehensibility, IJCAI-95, 1995. Report LRI, Université Paris-Sud pp
- An Induction-based Control for Genetic Algorithms.
M. Sebag and M. Schoenauer and C. Ravisé
In Proceedings of ECML-95, N. Lavrac and S. Wrobel Ed, 1995. Springer Verlag pp 351-355
- Constraint Inductive Logic Programming.
M. Sebag and C. Rouveirol
In Proceedings of ILP-95, L. de Raedt Ed, 1995. IOS Press pp 277-294
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1994
- Seismic Protection: an artificial intelligence approach.
M. Bulik and P. Navidi and M. Sebag
In Proceedings of the $2^nd$ Franco Italian Symposium on Earthquake Engineering and Structural Dynamics, 1994. Ouest Edition, Press Academics pp
- A Rule-based Similarity Measure.
M. Sebag and M. Schoenauer
In Topics in Case-Based Reasonning, S. Wess and K.-D. Althoff and M. M. Richter Ed, 1994. Springer Verlag pp 119-130
- Using Constraints to Building Version Spaces.
M. Sebag
In Proceedings of ECML-94, L. De Raedt and F. Bergadano Ed, 1994. Springer Verlag pp 257-271
- A Constraint-Based Induction Algorithm in FOL.
M. Sebag
In Proceedings of the 11th International Conference on Machine Learning, W. Cohen and H. Hirsh Ed, 1994. Morgan Kaufmann pp 275-283
- Controlling Crossover through Inductive Learning.
M. Sebag and M. Schoenauer
In Proceedings of the 3rd Conference on Parallel Problems Solving from Nature, PPSN94editors, publisher Ed, 1994. pp
- Evolution darwinienne ou evolution civilisee.
M. Sebag and M. Schoenauer and C. Ravisé
In Actes de la Conférence Evolution Artificielle, EA94editors, publisher Ed, 1994. pp
- Induction of Maximally General Clauses Compatible with Integrity Constraints.
M. Sebag and C. Rouveirol
In Proceedings of ILP-94, S. Wrobel Ed, 1994. pp
- Une approche par contraintes de l'espace des versions.
M. Sebag
In Reconnaissance des Formes et Intelligence Artificielle, 1994. AFCET pp
- Feature Induction by Back-propagation.
E. Ronald and M. Sebag and M. Schoenauer
In Proceedings of WCCI 94, 1994. IEEE Press pp