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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...
150
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
124
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
126
Voted
ICSE
2008
IEEE-ACM
16 years 4 months ago
2008
IEEE-ACM
Mutants are automatically-generated, possibly faulty variants of programs. The mutation adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identif...
171
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...