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111
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
156
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
117
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
120
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...