936 search results - page 97 / 188 » Learning with Rigorous Support Vector Machines |
173
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SIGIR
2000
ACM
15 years 8 months ago
2000
ACM
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
179
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JMLR
2012
13 years 6 months ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
135
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
125
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
131
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...