305 search results - page 57 / 61 » Gene function prediction using labeled and unlabeled data |
BMCBI
2008
14 years 10 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
BMCBI
2010
14 years 10 months ago
2010
Background: Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The dat...
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
KDD
2009
ACM
15 years 10 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...