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» Some Results on Orthogonal Factorizations
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ABIALS
2008
Springer
14 years 11 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
CORR
2010
Springer
102views Education» more  CORR 2010»
14 years 9 months ago
On Factor Universality in Symbolic Spaces
The study of factoring relations between subshifts or cellular automata is central in symbolic dynamics. Besides, a notion of intrinsic universality for cellular automata based on ...
Laurent Boyer, Guillaume Theyssier
SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
14 years 8 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
ICCV
2005
IEEE
15 years 11 months ago
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
Xiangyang Lan, Daniel P. Huttenlocher
MICRO
2003
IEEE
152views Hardware» more  MICRO 2003»
15 years 3 months ago
A Systematic Methodology to Compute the Architectural Vulnerability Factors for a High-Performance Microprocessor
Single-event upsets from particle strikes have become a key challenge in microprocessor design. Techniques to deal with these transient faults exist, but come at a cost. Designers...
Shubhendu S. Mukherjee, Christopher T. Weaver, Joe...