3668 search results - page 268 / 734 » Margin Distribution and Learning |
250
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IPMI
2011
Springer
14 years 10 months ago
2011
Springer
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
162
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ICML
2001
IEEE
16 years 8 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
215
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FOCS
2008
IEEE
16 years 1 months ago
2008
IEEE
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
198
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IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
187
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NIPS
2003
15 years 8 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...