Search results for "Liva Ralaivola"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Emilie Morvant, Sokol Koço, Liva Ralaivola	PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification	CoRR	2012	DBLP BibTeX RDF
1	Pierre Machart, Thomas Peel, Liva Ralaivola, Sandrine Anthoine, Hervé Glotin	Stochastic Low-Rank Kernel Learning for Regression	CoRR	2012	DBLP BibTeX RDF
1	Pierre Machart, Liva Ralaivola	Confusion Matrix Stability Bounds for Multiclass Classification	CoRR	2012	DBLP BibTeX RDF
1	Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola, Hervé Glotin	Stochastic Low-Rank Kernel Learning for Regression.	ICML	2011	DBLP BibTeX RDF
1	Sylvain Takerkart, Liva Ralaivola	MKPM: A multiclass extension to the kernel projection machine.	CVPR	2011	DBLP DOI BibTeX RDF
1	Liva Ralaivola, Marie Szafranski, Guillaume Stempfel	Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Thomas Peel, Sandrine Anthoine, Liva Ralaivola	Empirical Bernstein Inequalities for U-Statistics.	NIPS	2010	DBLP BibTeX RDF
1	Liva Ralaivola, Marie Szafranski, Guillaume Stempfel	Chromatic PAC-Bayes Bounds for Non-IID Data.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Liva Ralaivola, Marie Szafranski, Guillaume Stempfel	Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary \beta-Mixing Processes	CoRR	2009	DBLP BibTeX RDF
1	Guillaume Stempfel, Liva Ralaivola	Learning SVMs from Sloppily Labeled Data.	ICANN	2009	DBLP DOI BibTeX RDF
1	Liva Ralaivola	Semi-supervised bipartite ranking with the normalized Rayleigh coefficient.	ESANN	2009	DBLP BibTeX RDF
1	Matthieu Kowalski, Marie Szafranski, Liva Ralaivola	Multiple indefinite kernel learning with mixed norm regularization.	ICML	2009	DBLP DOI BibTeX RDF
1	Raphaël Bailly, François Denis, Liva Ralaivola	Grammatical inference as a principal component analysis problem.	ICML	2009	DBLP DOI BibTeX RDF
1	Guillaume Stempfel, Liva Ralaivola	Learning Kernel Perceptrons on Noisy Data Using Random Projections.	ALT	2007	DBLP DOI BibTeX RDF
1	Liva Ralaivola, François Denis, Christophe Nicolas Magnan	CN = CPCN.	ICML	2006	DBLP DOI BibTeX RDF
1	François Denis, Christophe Nicolas Magnan, Liva Ralaivola	Efficient learning of Naive Bayes classifiers under class-conditional classification noise.	ICML	2006	DBLP DOI BibTeX RDF
1	Liva Ralaivola, Sanjay Joshua Swamidass, Hiroto Saigo, Pierre Baldi	Graph kernels for chemical informatics.	Neural Networks	2005	DBLP DOI BibTeX RDF
1	Liva Ralaivola, Lin Wu, Pierre Baldi	SVM and pattern-enriched common fate graphs for the game of go.	ESANN	2005	DBLP BibTeX RDF
1	Sanjay Joshua Swamidass, Jonathan H. Chen, Jocelyne Bruand, Peter Phung, Liva Ralaivola, Pierre Baldi	Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity.	ISMB (Supplement of Bioinformatics)	2005	DBLP DOI BibTeX RDF
1	Bruno-Edouard Perrin, Liva Ralaivola, Aurélien Mazurie, Samuele Bottani, Jacques Mallet, Florence d'Alché-Buc	Gene networks inference using dynamic Bayesian networks.	ECCB	2003	DBLP BibTeX RDF
1	Liva Ralaivola, Florence d'Alché-Buc	Dynamical Modeling with Kernels for Nonlinear Time Series Prediction.	NIPS	2003	DBLP BibTeX RDF
1	Liva Ralaivola, Florence d'Alché-Buc	Incremental Support Vector Machine Learning: A Local Approach.	ICANN	2001	DBLP DOI BibTeX RDF

Publications of "Liva Ralaivola" ( http://dblp.L3S.de/Authors/Liva_Ralaivola )