1614 search results - page 214 / 323 » Learning Rules and Their Exceptions |
121
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ICML
1999
IEEE
16 years 2 months ago
1999
IEEE
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
128
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
124
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
133
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
AUSAI
2007
Springer
15 years 7 months ago
2007
Springer
This paper details updated results concerning an implementation of a Multiple Classification Ripple Down Rules (MCRDR) system which can be used to provide quality Decision Support ...