118 search results - page 9 / 24 » Hierarchic Bayesian models for kernel learning |
ECML
2006
Springer
13 years 11 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...
CIKM
2010
Springer
13 years 6 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...
CVPR
2008
IEEE
14 years 10 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...
ICML
2005
IEEE
14 years 8 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...
JMLR
2007
13 years 7 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...