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UM
2005
Springer
15 years 9 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
CAISE
2003
Springer
15 years 9 months ago
Evaluation of the SRA Tool Using Data Mining Techniques
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error an...
Andreas Gregoriades, Alistair G. Sutcliffe, Harala...
ECAI
2006
Springer
15 years 7 months ago
Improving Bound Propagation
Abstract. This paper extends previously proposed bound propagation algorithm [11] for computing lower and upper bounds on posterior marginals in Bayesian networks. We improve the b...
Bozhena Bidyuk, Rina Dechter
ICAI
2009
15 years 1 months ago
BayesOWL: A Prototype System for Uncertainty in Semantic Web
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...