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117
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IJON
1998
158views more  IJON 1998»
15 years 8 days ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
105
Voted
BMCBI
2007
146views more  BMCBI 2007»
15 years 21 days ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 2 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
HICSS
2006
IEEE
145views Biometrics» more  HICSS 2006»
15 years 6 months ago
Resource Decisions in Software Development Using Risk Assessment Model
The resource decisions in software project using cost models do not satisfy managerial decision, as it does not support trade-off analysis among resources. A Bayesian net approach...
Wiboon Jiamthubthugsin, Daricha Sutivong
ICIP
2009
IEEE
16 years 1 months ago
Bayesian Blind Deconvolution From Differently Exposed Image Pairs
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...