99 search results - page 9 / 20 » Learning Taxonomies by Dependence Maximization |
107
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ECML
2005
Springer
15 years 5 months ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
NIPS
2007
15 years 1 months ago
2007
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
109
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KR
1992
Springer
15 years 4 months ago
1992
Springer
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
115
Voted
ML
2007
ACM
14 years 12 months ago
2007
ACM
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...