5866 search results - page 803 / 1174 » An e-Process Selection Model |
159
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
175
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
132
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
224
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
144
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...