3668 search results - page 204 / 734 » Margin Distribution and Learning |
188
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SBIA
2004
Springer
16 years 15 days ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
190
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ICGI
2010
Springer
15 years 5 months ago
2010
Springer
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
199
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ICML
2000
IEEE
15 years 11 months ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
208
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NIPS
2008
15 years 8 months ago
2008
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
178
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NIPS
2007
15 years 8 months ago
2007
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...