241 search results - page 29 / 49 » Parameter learning for relational Bayesian networks |
JMLR
2010
14 years 4 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
108
click to vote
AI
2010
Springer
14 years 10 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
IJCAI
2003
14 years 11 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
103
click to vote
BMCBI
2007
14 years 9 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...