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117
Voted
ICML
2006
IEEE
16 years 4 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...
140
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MADNES
2005
Springer
15 years 9 months ago
2005
Springer
With the rapid advance of the Internet, a large amount of sensitive data is collected, stored, and processed by different parties. Data mining is a powerful tool that can extract ...
135
Voted
WSDM
2010
ACM
16 years 26 days ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
137
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NIPS
2007
15 years 4 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
143
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NIPS
2007
15 years 4 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...