André Elisseeff

According to our database, André Elisseeff authored at least 30 papers between 1996 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2010

Causal networks for risk and compliance: Methodology and application.

André Elisseeff, Jean-Philippe Pellet, Eleni Pratsini

IBM J. Res. Dev., 2010

Subagging for credit scoring models.

Giuseppe Paleologo, André Elisseeff, Gianluca Antonini

Eur. J. Oper. Res., 2010

2008

Using Markov Blankets for Causal Structure Learning.

Jean-Philippe Pellet, André Elisseeff

J. Mach. Learn. Res., 2008

Design and Analysis of the Causation and Prediction Challenge.

Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov

Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

Explanation Trees for Causal Bayesian Networks.

Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff

Proceedings of the UAI 2008, 2008

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets.

Jean-Philippe Pellet, André Elisseeff

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Guest editorial: Learning theory.

Olivier Bousquet, André Elisseeff

Mach. Learn., 2007

A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables.

Jean-Philippe Pellet, André Elisseeff

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006

Embedded Methods.

Thomas Navin Lal, Olivier Chapelle, Jason Weston, André Elisseeff

Proceedings of the Feature Extraction - Foundations and Applications, 2006

An Introduction to Feature Extraction.

Isabelle Guyon, André Elisseeff

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Stability of Randomized Learning Algorithms.

André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil

J. Mach. Learn. Res., 2005

Semi-supervised protein classification using cluster kernels.

Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Bioinform., 2005

Efficient Allocation of Marketing Resources using Dynamic Programming.

Giuliano Tirenni, Abderrahim Labbi, André Elisseeff, Cesar Berrospi

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004

Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.

Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff

Mach. Learn., 2004

Combining protein secondary structure prediction models with ensemble methods of optimal complexity.

Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi

Neurocomputing, 2004

2003

Use of the Zero-Norm with Linear Models and Kernel Methods.

Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping

J. Mach. Learn. Res., 2003

An Introduction to Variable and Feature Selection.

Isabelle Guyon, André Elisseeff

J. Mach. Learn. Res., 2003

Feature selection and transduction for prediction of molecular bioactivity for drug design.

Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf

Bioinform., 2003

Semi-supervised Protein Classification Using Cluster Kernels.

Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Stability and Generalization.

Olivier Bousquet, André Elisseeff

J. Mach. Learn. Res., 2002

A Stability Based Method for Discovering Structure in Clustered Data.

Asa Ben-Hur, André Elisseeff, Isabelle Guyon

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

Kernel Dependency Estimation.

Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Simple Algorithm for Learning Stable Machines.

Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

A kernel method for multi-labelled classification.

André Elisseeff, Jason Weston

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

On Kernel-Target Alignment.

Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Algorithmic Stability and Generalization Performance.

Olivier Bousquet, André Elisseeff

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Generalization Performance of Multiclass Discriminant Models.

Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A New Multi-Class SVM Based on a Uniform Convergence Result.

Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

JNN, a randomized algorithm for training multilayer networks in polynomial time.

André Elisseeff, Hélène Paugam-Moisy

Neurocomputing, 1999

1996

Size of Multilayer Networks for Exact Learning: Analytic Approach.

André Elisseeff, Hélène Paugam-Moisy

Proceedings of the Advances in Neural Information Processing Systems 9, 1996