3694 search results - page 499 / 739 » Stochastic complexity in learning |
177
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IJON
2011
15 years 1 months ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
172
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JMLR
2010
15 years 1 months ago
2010
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
292
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Book
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
195
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
A novel approach to scene categorization is proposed. Similar to previous works of [11, 15, 3, 12], we introduce an intermediate space, based on a low dimensional semantic "t...
171
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...