Exploring large feature spaces with hierarchical MKL (2008)

by Francis Bach
Citations:45 - 9 self

Active Bibliography

9 High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning – Francis Bach - 2009
2. Function space / normRegularizations – Francis Bach, Special Thanks To R. Jenatton, J. Mairal, G. Obozinski Supervised Learning, Data Xi X, Yi Y, Function Space Norm - 2009
81 Consistency of the group lasso and multiple kernel learning – Francis R. Bach - 2007
Learning with Sparsity-Inducing Norms – Francis Bach - 2008
4 SimpleMKL – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet - 2008
Learning with Unlabeled Data – Xu Zenglin
Model-Consistent Sparse Estimation through the Bootstrap – Francis Bach - 2009
– Groups of features / Multiple kernel learning – Francis Bach, Function Space Norm - 2010
Abstract – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Universität Tübingen, Klaus-robert Müller, Alexander Zien
23 Hiroshi Imai and Masao Iri. Polygonal approximations of a curve – formulations and algorithms – Francis R. Bach - 1988
77 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
Positive Definite Kernels in Machine Learning – Marco Cuturi - 2009
Learning to Integrate Data from Different Sources and Tasks – Andreas Argyriou - 2007
2 Building Sparse Multiple-Kernel SVM Classifiers – Mingqing Hu, Yiqiang Chen, James Tin-yau Kwok
11 Multi-class Discriminant Kernel Learning via Convex Programming – Jieping Ye, Shuiwang Ji, Jianhui Chen, Isabelle Guyon, Amir Saffari
Class Prediction from Disparate Biological Data Sources using an Iterative Multi-kernel Algorithm – Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark Girolami
19 Bolasso: model consistent lasso estimation through the bootstrap – Francis R. Bach - 2008
Contents lists available at ScienceDirect Pattern Recognition – Mehmet Gönen, Ethem Alpaydın
14 On the Asymptotic Properties of The Group Lasso Estimator in Least Squares Problems – Yuval Nardi, Alessandro Rinaldo