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» Gene networks inference using dynamic Bayesian networks
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IPM
2007
139views more  IPM 2007»
15 years 6 months ago
A semantic Bayesian network approach to retrieving information with intelligent conversational agents
As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective ...
Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
15 years 11 months ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
PE
2010
Springer
170views Optimization» more  PE 2010»
15 years 4 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
SRDS
2010
IEEE
15 years 4 months ago
Shedding Light on Enterprise Network Failures Using Spotlight
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...
Dipu John, Pawan Prakash, Ramana Rao Kompella, Ran...
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...