André Elisseeff

32 papers A 3B 1Misc 1Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2012 J jnl
Explanation Trees for Causal Bayesian Networks
CoRR
Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff
2010 J jnl
Causal networks for risk and compliance: Methodology and application.
IBM J. Res. Dev.
André Elisseeff, Jean-Philippe Pellet, Eleni Pratsini
2010 J jnl
Subagging for credit scoring models.
Eur. J. Oper. Res.
Giuseppe Paleologo, André Elisseeff, Gianluca Antonini
2008 — ed.
Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008
WCCI Causation and Prediction Challenge
Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008 — conf
Design and Analysis of the Causation and Prediction Challenge.
WCCI Causation and Prediction Challenge
Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008 A conf
Explanation Trees for Causal Bayesian Networks.
UAI
Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff
2008 — conf
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets.
NIPS
Jean-Philippe Pellet, André Elisseeff
2008 J jnl
Using Markov Blankets for Causal Structure Learning.
J. Mach. Learn. Res.
Jean-Philippe Pellet, André Elisseeff
2007 B conf
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables.
IDA
Jean-Philippe Pellet, André Elisseeff
2007 J jnl
Guest editorial: Learning theory.
Mach. Learn.
Olivier Bousquet, André Elisseeff
2006 — ch.
An Introduction to Feature Extraction.
Feature Extraction
Isabelle Guyon, André Elisseeff
2006 — ch.
Embedded Methods.
Feature Extraction
Thomas Navin Lal, Olivier Chapelle, Jason Weston, André Elisseeff
2005 A conf
Efficient Allocation of Marketing Resources using Dynamic Programming.
SDM
Giuliano Tirenni, Abderrahim Labbi, André Elisseeff, Cesar Berrospi
2005 J jnl
Semi-supervised protein classification using cluster kernels.
Bioinform.
Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2005 J jnl
Stability of Randomized Learning Algorithms.
J. Mach. Learn. Res.
André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
2004 J jnl
Combining protein secondary structure prediction models with ensemble methods of optimal complexity.
Neurocomputing
Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
2004 J jnl
Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.
Mach. Learn.
Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff
2003 J jnl
An Introduction to Variable and Feature Selection.
J. Mach. Learn. Res.
Isabelle Guyon, André Elisseeff
2003 J jnl
Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinform.
Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf
2003 — conf
Semi-supervised Protein Classification Using Cluster Kernels.
NIPS
Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
2003 J jnl
Use of the Zero-Norm with Linear Models and Kernel Methods.
J. Mach. Learn. Res.
Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping
2002 A conf
A Simple Algorithm for Learning Stable Machines.
ECAI
Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
2002 Misc conf
A Stability Based Method for Discovering Structure in Clustered Data.
Pacific Symposium on Biocomputing
Asa Ben-Hur, André Elisseeff, Isabelle Guyon
2002 — conf
Kernel Dependency Estimation.
NIPS
Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik
2002 J jnl
Stability and Generalization.
J. Mach. Learn. Res.
Olivier Bousquet, André Elisseeff
2001 — conf
A kernel method for multi-labelled classification.
NIPS
André Elisseeff, Jason Weston
2001 — conf
On Kernel-Target Alignment.
NIPS
Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola
2000 — conf
A New Multi-Class SVM Based on a Uniform Convergence Result.
IJCNN (4)
Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
2000 — conf
Algorithmic Stability and Generalization Performance.
NIPS
Olivier Bousquet, André Elisseeff
2000 — conf
Generalization Performance of Multiclass Discriminant Models.
IJCNN (4)
Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
1999 J jnl
JNN, a randomized algorithm for training multilayer networks in polynomial time.
Neurocomputing
André Elisseeff, Hélène Paugam-Moisy
1996 — conf
Size of Multilayer Networks for Exact Learning: Analytic Approach.
NIPS
André Elisseeff, Hélène Paugam-Moisy