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All publications by André Elisseeff
authors venues years



Using Markov Blankets for Causal Structure Learning
Jean-philippe Pellet and André Elisseeff
Journal of Machine Learning Research, 2008


Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-philippe Pellet and André Elisseeff
Advances in Neural Information Processing Systems 21, 2008


Stability of Randomized Learning Algorithms
André Elisseeff, Theodoros Evgeniou and Massimiliano Pontil
Journal of Machine Learning Research, 2005


Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf and Michael E. Tipping
Journal of Machine Learning Research, 2003


Semi-supervised Protein Classification Using Cluster Kernels
Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble and Christina S. Leslie
Advances in Neural Information Processing Systems 16, 2003


An Introduction to Variable and Feature Selection
Isabelle Guyon and André Elisseeff
Journal of Machine Learning Research, 2003


Stability and Generalization
Olivier Bousquet and André Elisseeff
Journal of Machine Learning Research, 2002


Stability and Generalization
Olivier Bousquet and André Elisseeff
Journal of Machine Learning Research, 2002


Kernel Dependency Estimation
Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


On Kernel-Target Alignment
Nello Cristianini, John Shawe-taylor, André Elisseeff and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


A kernel method for multi-labelled classification
André Elisseeff and Jason Weston
Advances in Neural Information Processing Systems 14, 2001