PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Michele Sebag

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Number of EPrints submitted by this user: 28

Scalability and efficiency in multi-relational data mining
Hendrik Blockeel and Michele Sebag
ACM SIGKDD, Special Issue on Multi-Relational Data Mining Volume 5, Number 1, pp. 17-30, 2003.

Machine Learning Journal, Special Issue on Inductive Logic Programming and Relational Learning
Céline Rouveirol and Michele Sebag, ed. (2004) Kluwer Academic Publisher .

Revue des Nouvelles Technologies de l'Information (RNTI-2), numéro spécial "Mesures de qualité pour la fouille de données"
Henri Briand, Michele Sebag, Régis Gras and Fabrice Guillet, ed. (2004) Cépaduès Editions . ISBN 2.85428.646.4

Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Kees Jong, Elena Marchiori and Michele Sebag
In: PPSN, Parallel Problem Solving from Nature, sept. 2004, Birmingham.

Fast Theta-Subsumption with Constraint Satisfaction Algorithms
Jérôme Maloberti and Michele Sebag
Machine Learning Journal Volume 55, Number 2, pp. 137-174, 2004.

C4.5 Competence Map: a Phase Transition-inspired Approach.
Nicholas Baskiotis and Michele Sebag
In: ICML 2004, 21st International Conference on Machine Learning, july 2004, Banff, Canada.

Dryade: a new approach for discovering closed frequent trees in heterogeneous tree databases
Alexandre Termier, Marie-Christine Rousset and Michele Sebag
In: ICDM 2004, IEEE Int. Conference on Data Mining, november 2004, Brighton, UK.

Concentration inequalities using the entropy method
Stephane Boucheron, Pascal Massart and Gabor LUGOSI
The Annals of Probability Volume 31, Number 3, pp. 1583-1614, 2003. ISSN 0091-1798

Moment inequalities for functions of independent random variables
Pascal Massart, Stephane Boucheron and Gabor LOGOSI
Tha annals of Probability pp. 58-58, 2004.

Risk bounds for statistical learning
Pascal Massart and E NEDELEC
The Annals of Statistics pp. 45-45, 2003.

Minimal penalties for Gaussian model selection.
Pascal Massart and L Birge
Probability Th. and Related Fields pp. 35-35, 2004.

Statistical performance of support vector machines
Pascal Massart, Gilles Blanchard and Olivier Bousquet
Tha Annals of Statistics 32, 2004.

Learning switching dynamic models for objects tracking
Gilles Celeux, J. Nascimento and J. Marques
Pattern Recognition Number 37, pp. 1841-1853, 2004.

An alternative competing risk model to the Weibull distribution
Gilles Celeux, Nicholas Bousquet and H. Bertholon
lifetime data analysis 2004.

Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models.
Gilles Celeux, Gérard Govaert and C. Biernacki
Computational Statistics and Data Analysis Volume 41, pp. 561-575, 2003.

Mixture of linear mixed models Application to repeated data clustering
Gilles Celeux, O. Martin and C. Lavergne
Statistical Modelling 2004.

Choosing a model in a Classification purpose.
Gilles Celeux
In: IFCS 2004,, 2004, Chicago.

Model selection in supervised classification
Gilles Celeux and Guillaume Bouchard
In: PAMI (2004), 2004.

A non asymptotic theory for model selection
Pascal Massart
In: 4th ECM(2004).

Kernel projection machine: a new tool for pattern recognition
Pascal Massart, Gilles Blanchard, Regis Vert and Laurent Zwald
In: NIPS 2004, 2004.

Electric Consumption Curves Analysis by Hidden Markov Chains
J.B Durand, L. Bozzi, Gilles Celeux and C. Dequernne
Revue de Statistique Appliquée Volume 52, Number 4, pp. 71-91, 2004.

Model selection by bootstrap penalization for classification
Magalie Fromont
In: COLT 2004, Juillet 2004, Banff,Canada.

Statistical Properties of Kernel Principal Component Analysis
Laurent Zwald, Olivier Bousquet and Gilles Blanchard
In: COLT 2004, Juillet 2004, Banff,Canada.

Kernel Projection Machine: a New Tool for Pattern Recognition
Gilles Blanchard, Pascal Massart, Regis Vert and Laurent Zwald
In: NIPS 2004, Décembre 2004, Vancouver, Canada.

Discussion to Least Angle Regression
Jean-Michel Loubes and Pascal Massart
Ann. of Statistics Volume 32, Number 2, pp. 476-482, 2004.

A multi-objective multi-modal optimisation approach for mining stable spatio-temporal patterns
Michele Sebag, Nicolas Tarrisson, Olivier Teytaud, Julien Lefevre and Sylvain Baillet
In: IJCAI 2005, 01-05 August 2005, Edimburg, UK.

Phase Transitions within Grammatical Inference
N Pernot, Antoine Cornuéjols and Michele Sebag
In: IJCAI 2005, 01-05 August 2005, Edimburg, UK..

Computation-time efficient and robust attribute tree mining with DryadeParent
A Termier, M-C Rousset, Michele Sebag, K Ohara, T Washio and Hiroshi Motoda
In: ECML/PKDD 2005, 03-07 Oct 2005, Porto, Portugal.