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» On Learning Boolean Functions
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73
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ICALT
2003
IEEE
15 years 3 months ago
Mobile Learning: A New Paradigm in Electronic Learning
As mobile phone becomes popular in the society and many people can afford the cost, the demand of mobility is extended to teaching and learning purposes. One recent and significan...
Chi-Hong Leung, Yuen-Yan Chan
89
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
14 years 11 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
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 ...
Bram Bakker, Jürgen Schmidhuber
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 10 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
88
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ECML
2006
Springer
15 years 1 months ago
(Agnostic) PAC Learning Concepts in Higher-Order Logic
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...
Kee Siong Ng
CORR
2008
Springer
72views Education» more  CORR 2008»
14 years 10 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik