1514 search results - page 125 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
179
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
148
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COLT
2005
Springer
15 years 12 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
188
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JMLR
2006
15 years 6 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...
223
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JMLR
2012
13 years 8 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 ...
157
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ECML
2004
Springer
15 years 11 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...