164 search results - page 29 / 33 » Flexible latent variable models for multi-task learning |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
UAI
2000
14 years 11 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
PERVASIVE
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
WSDM
2010
ACM
15 years 7 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
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PKDD
2010
Springer
14 years 8 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...