3643 search results - page 89 / 729 » Learning Submodular Functions |
130
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NCI
2004
15 years 3 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
102
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
121
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
We generalize the classical algorithms of Valiant and Haussler for learning conjunctions and disjunctions of Boolean attributes to the problem of learning these functions over arb...
116
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
This paper studies the PAC and agnostic PAC learnability of some standard function classes in the learning in higher-order logic setting introduced by Lloyd et al. In particular, i...
113
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...