89 search results - page 7 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
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MCS
2005
Springer
15 years 3 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
UAI
2003
14 years 11 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
ISDA
2008
IEEE
15 years 4 months ago
2008
IEEE
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
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ECCB
2003
IEEE
15 years 2 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...