305 search results - page 19 / 61 » Gene function prediction using labeled and unlabeled data |
NIPS
2007
14 years 11 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
SDM
2003
SIAM
14 years 11 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
92
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BMCBI
2007
14 years 10 months ago
2007
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
122
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
BMCBI
2005
14 years 10 months ago
2005
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...