704 search results - page 65 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
112
Voted
FUZZIEEE
2007
IEEE
15 years 7 months ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
191
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
129
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
—Transcriptional regulation by transcription factors (TFs) and microRNAs controls when and how much RNA is created. Due to technical limitations, the protein level expressions of...
118
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BMCBI
2010
15 years 22 days ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
109
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BIB
2007
15 years 22 days ago
2007
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...