10061 search results - page 49 / 2013 » Statistical Models of Conditioning |
ICCPOL
2009
Springer
14 years 7 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
PKDD
2007
Springer
15 years 3 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
HICSS
2003
IEEE
15 years 3 months ago
2003
IEEE
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
ICMT
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Pattern-based model-to-model transformation is a new approach for specifying transformations in a declarative, relational and formal style. The language relies on pattern...
INTERSPEECH
2010
14 years 4 months ago
2010
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...