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» On the Validity of Hierarchical Decompositions
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PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 3 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
EOR
2010
104views more  EOR 2010»
13 years 8 months ago
Cut generation for an integrated employee timetabling and production scheduling problem
This paper investigates the integration of the employee timetabling and production scheduling problems. At the first level, we manage a classical employee timetabling problem. At ...
O. Guyon, P. Lemaire, Eric Pinson, David Rivreau
SMA
2009
ACM
223views Solid Modeling» more  SMA 2009»
14 years 3 months ago
Particle-based forecast mechanism for continuous collision detection in deformable environments
Collision detection in geometrically complex scenes is crucial in physical simulations and real time applications. Works based on spatial hierarchical structures have been propose...
Thomas Jund, David Cazier, Jean-François Du...
ICAC
2007
IEEE
14 years 3 months ago
Adaptive Multi-levels Dictionaries and Singular Value Decomposition Techniques for Autonomic Problem Determination
An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose su...
Hoi Chan, Thomas Kwok
CVGIP
2010
182views more  CVGIP 2010»
13 years 8 months ago
MCCD: Multi-core collision detection between deformable models using front-based decomposition
We present a novel parallel algorithm for fast continuous collision detection (CCD) between deformable models using multi-core processors. We use a hierarchical representation to ...
Min Tang, Dinesh Manocha, Ruofeng Tong