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ECML
1998
Springer
15 years 2 months ago
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Doina Precup, Richard S. Sutton, Satinder P. Singh
ML
2007
ACM
101views Machine Learning» more  ML 2007»
14 years 9 months ago
A persistent union-find data structure
The problem of disjoint sets, also known as union-find, consists in maintaining a partition of a finite set within a data structure. This structure provides two operations: a fu...
Sylvain Conchon, Jean-Christophe Filliâtre
POS
2000
Springer
15 years 1 months ago
Hyper-Code Revisited: Unifying Program Source, Executable, and Data
Abstract. The technique of hyper-programming allows program representations held in a persistent store to contain embedded links to persistent code and data. In 1994, Connor et al ...
Evangelos Zirintsis, Graham N. C. Kirby, Ronald Mo...
ICML
2008
IEEE
15 years 11 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
JMLR
2010
139views more  JMLR 2010»
14 years 4 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...