Mirta B. Gordon

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Directeur de Recherche CNRS
Responsable de l'équipe

Email : Mirta.Gordon@imag.fr
Phone : (33) 476-575-087
Fax : (33) 476-574-602
Bureau : C203

Thèmes de recherche

  • Algorithmes et théorie: l'approche par la physique statistique
  • Support Vector Machines
  • Etude de l'effet Baldwin (Format PDF ou PPT)
  • Modélisation de systèmes complexes
  • Apprentissage par renforcement

Publications récentes

  • An Introduction to Statistical Physics. Mirta B. Gordon, in Towards a Cognitive Economy, P. Bourgine and J-P. Nadal Eds., Springer Verlag (see Cahiers Leibniz N°66 http://www-leibniz.imag.fr/LesCahiers/Cahiers2002.html and http://www.cenecc.ens.fr/EcoCog/Livre/index.html)
  • A model for the emergence of adaptive subsystems. H. Dopazo, M. B. Gordon, R. Perazzo, S. Risau-Gusman, Bulletin of Mathematical Biology 65, vol.1(2003) 27-56 (see Cahiers Leibniz N°56 http://www-leibniz.imag.fr/LesCahiers/Cahiers2002.html )
  • Learning curves for Soft Margin Classifiers. Sebastian Risau-Gusman, Mirta B. Gordon, submitted (see Cahiers Leibniz N°47 (http://www-leibniz.imag.fr/LesCahiers/Cahiers2002.html and http://fr.arxiv.org/abs/cond-mat/0203315 )
  • Chapitre 6: La Discrimination, in Réseaux de neurones - Méthodologie et applications (nouveau lien, car l’ancien n’est plus valable : http://www.eyrolles.com/php.informatique/Ouvrages/9782212110197.php3) G. Dreyfus, J-M. Martinez, M. Samuelides, M. B. Gordon, F. Badran, S. Thiria, L. Hérault. Collection Algorithmes, Eyrolles (2002) Livre de 386 pages, ISBN 2-212-11019-7
  • SpikeCell: a deterministic spiking neuron. C. Godin, M.B. Gordon, J.D. Muller, Neural Networks 15 (2002) 873-879 (see Cahiers Leibniz N°46 http://www-leibniz.imag.fr/LesCahiers/Cahiers2002.html )
  • Rigorous bounds to retarded learning. Arnaud Buhot, Mirta B. Gordon and Jean-Pierre Nadal, Physical Review Letters 88 (9), 099801 (2002) (see Cahiers Leibniz N°41 http://www-leibniz.imag.fr/LesCahiers/Cahiers2002.html and http://fr.arxiv.org/abs/cond-mat/0201256 )
  • Hierarchical learning in polynomial support vector machines. Sebastian Risau-Gusman and Mirta B. Gordon, Machine Learning 46 (2002) 53-70. (see http://fr.arxiv.org/abs/cond-mat/0010423 )
  • Statistical Mechanics of Soft Margin Classifiers. Sebastian Risau and Mirta B. Gordon, Phys. Rev. E 64, 031907 (2001) (see: Cahiers Leibniz N°30 http://www-leibniz.imag.fr/LesCahiers/Cahiers2001.html and http://fr.arxiv.org/abs/cond-mat/0102319 )
  • Robust learning and generalization with Support Vector Machines. Arnaud Buhot and Mirta B. Gordon, J. Phys.A34 (2001) 4377-4388.
  • A model for the interaction of learning and evolution. H. Dopazo, M. B. Gordon, R. Perazzo , S. Risau-Gusman, Bulletin of Mathematical Biology 63 (N°1) (2001) 117-134)
  • Back to spike coding in networks of sigmoidal units. Christelle Godin and Mirta B. Gordon, in DYNN2000, International workshop on Dynamical neural networks and applications, Bielefeld, November 20-24, 2000. Proceedings pp77-78.
  • Generalization properties of finite size polynomial Support Vector Machines. Sebastian Risau and Mirta B. Gordon, Phys Rev E62 (2000) 7092-7099. (see http://fr.arxiv.org/abs/cond-mat/0002071 )
  • Understanding stepwise generalization of Support vector Machines : a toy model. Sebastian Risau-Gusman, Mirta B. Gordon, in Advances in Neural Information Processing Systems 12, S. A. Solla, T. K. Leen and K.-R. Müller(eds.), MIT Press (2000) 321-327.
  • Storage capacity of a constructive learning algorithm. Arnaud Buhot, Mirta B. Gordon, J. Phys. A 33 (2000) 1713-1727.
  • Phase transitions in optimal unsupervised learning. Arnaud Buhot, Mirta B. Gordon, Phys.Rev.E 57 (1998) 3326-3333.
  • Bayesian learning versus optimal learning. Mirta B. Gordon and Arnaud Buhot, Physica A 257 (1998) 85-98.
  • Characterization of the Sonar Signals Benchmark. Juan-Manuel Torres Moreno, Mirta B.Gordon, Neural Processing Letters 7 (1998) 1-4.
  • Efficient adaptive learning for classification tasks with binary units. Juan Manuel Torres Moreno, Mirta B. Gordon. Neural Computation 10 (1998) 1017-1040.
  • Bayesian learning versus optimal learning. Mirta B. Gordon and Arnaud Buhot. Physica A 257 (1998) 85-98.

Pages personnelles

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Dernière modification : 22/05/05, gb