2868 search results - page 53 / 574 » Inference in Bayesian Networks |
162
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BIBM
2008
IEEE
15 years 9 months ago
2008
IEEE
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
141
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BMCBI
2007
15 years 3 months ago
2007
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
129
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FLAIRS
2006
15 years 4 months ago
2006
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
142
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
141
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SRDS
2010
IEEE
15 years 27 days ago
2010
IEEE
Abstract--Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm...