3668 search results - page 431 / 734 » Margin Distribution and Learning |
199
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
167
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
Within Valiant'smodel of learning as formalized by Kearns, we show that computable total predicates for two formallyuncomputable problems the classical Halting Problem, and t...
188
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
181
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
163
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ICCBR
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. When learning by observing an expert, cases can be automatically generated in an inexpensive manner. However, since this is a passive method of learning the observer has ...