89 search results - page 12 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
105
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ACCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
107
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ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
89
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BMCBI
2006
14 years 9 months ago
2006
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
112
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BMCBI
2008
14 years 9 months ago
2008
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...