449 search results - page 63 / 90 » Finding Structure in Reinforcement Learning |
123
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KDD
1998
ACM
15 years 7 months ago
1998
ACM
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
116
Voted
FTDB
2008
15 years 3 months ago
2008
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
147
Voted
AIIA
2003
Springer
15 years 8 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
125
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
119
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MLDM
2009
Springer
15 years 10 months ago
2009
Springer
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...