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» Compositional Models for Reinforcement Learning
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ICML
2010
IEEE
13 years 8 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
ICML
2008
IEEE
14 years 8 months ago
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thoma...
NIPS
2004
13 years 9 months ago
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...
ECAL
2007
Springer
13 years 11 months ago
Group Size Effects on the Emergence of Compositional Structures in Language
This paper presents computer simulations which investigate the effect that different group sizes have on the emergence of compositional structures in languages. The simulations are...
Paul Vogt
ECCV
2010
Springer
13 years 12 months ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...