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NIPS
2008
13 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
UMUAI
1998
157views more  UMUAI 1998»
13 years 5 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
BMCBI
2008
118views more  BMCBI 2008»
13 years 5 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
BMCBI
2010
175views more  BMCBI 2010»
13 years 5 months ago
Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspe
Background: RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly ...
S. P. T. Krishnan, Sim Sze Liang, Bharadwaj Veerav...
BMCBI
2006
133views more  BMCBI 2006»
13 years 5 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble