2033 search results - page 183 / 407 » Semi-Supervised Support Vector Machines |
180
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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 ...
155
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JMLR
2006
15 years 4 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
137
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PRICAI
2000
Springer
15 years 7 months ago
2000
Springer
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
137
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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 ...
157
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...