118 search results - page 9 / 24 » Hierarchic Bayesian models for kernel learning |
101
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
118
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CIKM
2010
Springer
14 years 11 months ago
2010
Springer
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
117
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
113
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
106
Voted
JMLR
2007
15 years 9 days ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...