3668 search results - page 335 / 734 » Margin Distribution and Learning |
175
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
161
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
164
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IPPS
2008
IEEE
16 years 1 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
148
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ECML
2001
Springer
15 years 11 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
157
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FECS
2008
15 years 8 months ago
2008
Much research has been devoted to the study of exclusively distance-learning paradigms for teaching various technological subjects, yet many students have not been satisfied with ...