1037 search results - page 123 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
JMLR
2012
11 years 11 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 ...
ACCV
2007
Springer
14 years 3 months ago
2007
Springer
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
CVPR
2010
IEEE
14 years 14 days 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 ...
ISNN
2010
Springer
13 years 7 months ago
2010
Springer
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...