1895 search results - page 367 / 379 » Function learning from interpolation |
125
Voted
TREC
2004
15 years 3 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
144
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NIPS
2003
15 years 3 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
122
Voted
ISMB
1994
15 years 3 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
149
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AI
2010
Springer
15 years 2 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
102
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...