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» Learning Approximate Consistencies
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ECML
2004
Springer
15 years 2 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
ICML
2010
IEEE
14 years 7 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
COLT
2005
Springer
15 years 3 months ago
Approximating a Gram Matrix for Improved Kernel-Based Learning
Petros Drineas, Michael W. Mahoney
ICML
2008
IEEE
15 years 10 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
MIR
2006
ACM
150views Multimedia» more  MIR 2006»
15 years 3 months ago
Exploring temporal consistency for video analysis and retrieval
Temporal consistency is ubiquitous in video data, where temporally adjacent video shots usually share similar visual and semantic content. This paper presents a thorough study of ...
Jun Yang 0003, Alexander G. Hauptmann