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ECAI
2010
Springer
15 years 25 days ago
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
Daan Fierens
AIED
2005
Springer
15 years 5 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
UAI
1997
15 years 1 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
CSB
2004
IEEE
120views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks
It is still an open problem to identify functional relations with o(N
Zheng Yun, Kwoh Chee Keong
ECSQARU
2007
Springer
15 years 5 months ago
Logical Compilation of Bayesian Networks with Discrete Variables
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
Michael Wachter, Rolf Haenni