2914 search results - page 185 / 583 » Learning and Inference with Constraints |
155
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TCS
2010
15 years 4 months ago
2010
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
168
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
187
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
170
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MLDM
2007
Springer
16 years 19 days ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
178
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UAI
2003
15 years 7 months ago
2003
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...