5 search results - page 1 / 1 » A Note on the Implementation of Hierarchical Dirichlet Proce... |
ACL
2009
13 years 2 months ago
2009
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
AMAST
2004
Springer
13 years 10 months ago
2004
Springer
concerns, abstraction (particularly hierarchical abstraction), simplicity, and restricted visibility (locality of information). The overall goal behind these principles was stated ...
TASE
2008
IEEE
13 years 4 months ago
2008
IEEE
Condition monitoring and fault diagnosis in modern manufacturing automation is of great practical significance. It improves quality and productivity, and prevents damage to machine...