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JMLR
2008
198views more  JMLR 2008»
13 years 10 months ago
Consistency of Random Forests and Other Averaging Classifiers
In the last years of his life, Leo Breiman promoted random forests for use in classification. He suggested using averaging as a means The second author's research was sponso...
Gérard Biau, Luc Devroye, Gábor Lugo...
JMLR
2008
140views more  JMLR 2008»
13 years 10 months ago
Aggregation of SVM Classifiers Using Sobolev Spaces
This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular ...
Sébastien Loustau
JMLR
2008
95views more  JMLR 2008»
13 years 10 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
JMLR
2008
84views more  JMLR 2008»
13 years 10 months ago
LIBLINEAR: A Library for Large Linear Classification
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-line ...
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-R...
JMLR
2010
93views more  JMLR 2010»
13 years 5 months ago
Erratum: SGDQN is Less Careful than Expected
The SGD-QN algorithm described in (Bordes et al., 2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well eno...
Antoine Bordes, Léon Bottou, Patrick Gallin...