2027 search results - page 13 / 406 » Learning and Generalization with the Information Bottleneck |
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
CIVR
2006
Springer
15 years 1 months ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
CLEF
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
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JAIR
1998
14 years 9 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...
SAINT
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...