876 search results - page 70 / 176 » On a theory of learning with similarity functions |
122
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HIS
2003
15 years 1 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
ADCM
2008
14 years 12 months ago
2008
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
101
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CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
106
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AIPS
2007
15 years 2 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
COLT
2007
Springer
15 years 6 months ago
2007
Springer
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...