2100 search results - page 184 / 420 » Learning to rank on graphs |
186
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
159
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NIPS
2004
15 years 8 months ago
2004
We provide a principle for semi-supervised learning based on optimizing the rate of communicating labels for unlabeled points with side information. The side information is expres...
201
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
198
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
357
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ECCV
2010
Springer
15 years 12 months ago
2010
Springer
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...