1149 search results - page 128 / 230 » Learning Dynamic Bayesian Networks |
FLAIRS
2001
14 years 11 months ago
2001
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
NIPS
2008
14 years 11 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ECTEL
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social ...
SGAI
2007
Springer
15 years 4 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...