288 search results - page 44 / 58 » Improving Bayesian Network parameter learning using constrai... |
134
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BMCBI
2008
15 years 1 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
126
Voted
GLOBECOM
2006
IEEE
15 years 7 months ago
2006
IEEE
— In this paper we investigate which is the most efficient architecture and protocol that can be used for file distribution. The focus of the analysis is to understand not only...
164
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AI
1998
Springer
15 years 29 days ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
116
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
116
Voted
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...