1419 search results - page 168 / 284 » Approximation Methods for Supervised Learning |
129
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
119
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BMCBI
2006
15 years 2 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
118
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RECOMB
2007
Springer
16 years 2 months ago
2007
Springer
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
117
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JMLR
2002
15 years 1 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
119
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...