2518 search results - page 168 / 504 » Machine learning in sedimentation modelling |
174
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
170
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
176
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RECOMB
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
187
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
176
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...