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Liva Ralaivola

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained OptimizationAlain Rakotomamonjy, Sokol Koco, Liva Ralaivola
Plos One|August 16, 2014
Graph-based inter-subject pattern analysis of FMRI dataSylvain Takerkart, Guillaume Auzias, Bertrand Thirion, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 15, 2005
Graph kernels for chemical informaticsLiva Ralaivola, Sanjay J Swamidass, Hiroto Saigo, et al.
Journal of Chemical Information and Modeling|September 26, 2006
The pharmacophore kernel for virtual screening with support vector machinesPierre Mahé, Liva Ralaivola, Véronique Stoven, et al.
Bioinformatics (Oxford, England)|June 18, 2005
Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activityS Joshua Swamidass, Jonathan Chen, Jocelyne Bruand, et al.
Bioinformatics (Oxford, England)|October 10, 2003
Gene networks inference using dynamic Bayesian networksBruno-Edouard Perrin, Liva Ralaivola, Aurélien Mazurie, et al.
Journal of Chemical Information and Modeling|March 7, 2007
One- to four-dimensional kernels for virtual screening and the prediction of physical, chemical, and biological propertiesChloé-Agathe Azencott, Alexandre Ksikes, S Joshua Swamidass, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained OptimizationAlain Rakotomamonjy, Sokol Koco, Liva Ralaivola
Plos One|August 16, 2014
Graph-based inter-subject pattern analysis of FMRI dataSylvain Takerkart, Guillaume Auzias, Bertrand Thirion, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 15, 2005
Graph kernels for chemical informaticsLiva Ralaivola, Sanjay J Swamidass, Hiroto Saigo, et al.
Journal of Chemical Information and Modeling|September 26, 2006
The pharmacophore kernel for virtual screening with support vector machinesPierre Mahé, Liva Ralaivola, Véronique Stoven, et al.
Bioinformatics (Oxford, England)|June 18, 2005
Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activityS Joshua Swamidass, Jonathan Chen, Jocelyne Bruand, et al.
Bioinformatics (Oxford, England)|October 10, 2003
Gene networks inference using dynamic Bayesian networksBruno-Edouard Perrin, Liva Ralaivola, Aurélien Mazurie, et al.
Journal of Chemical Information and Modeling|March 7, 2007
One- to four-dimensional kernels for virtual screening and the prediction of physical, chemical, and biological propertiesChloé-Agathe Azencott, Alexandre Ksikes, S Joshua Swamidass, et al.
Pageof 1