704 search results - page 32 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
141
Voted
CSDA
2011
14 years 9 months ago
2011
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
122
Voted
RECOMB
2007
Springer
16 years 2 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
151
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IROS
2008
IEEE
15 years 9 months ago
2008
IEEE
— In this paper, scalable collaborative human-robot systems for information gathering applications are approached as a decentralized Bayesian sensor network problem. Humancompute...
121
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SAC
2008
ACM
15 years 2 months ago
2008
ACM
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
157
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...