704 search results - page 57 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
101
click to vote
CVPR
2000
IEEE
16 years 2 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
118
click to vote
RECOMB
2003
Springer
16 years 27 days ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
103
Voted
BMCBI
2008
15 years 21 days ago
2008
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
193
click to vote
VLDB
2006
ACM
16 years 25 days ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
124
click to vote
BMCBI
2008
15 years 21 days ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...