3837 search results - page 60 / 768 » Learning Approximate Consistencies |
133
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JAIR
1998
15 years 1 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
145
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COLT
2010
Springer
14 years 12 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
ICML
1999
IEEE
16 years 2 months ago
1999
IEEE
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
120
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...