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AIPS
2006
15 years 6 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
WICSA
2004
15 years 6 months ago
Software Reconfiguration Patterns for Dynamic Evolution of Software Architectures
A software reconfiguration pattern is a solution to a problem in component-based software systems where the configuration needs to be updated while the system is operational. It d...
Hassan Gomaa, Mohamed Hussein
MVA
1998
230views Computer Vision» more  MVA 1998»
15 years 6 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...
AMC
2006
77views more  AMC 2006»
15 years 4 months ago
A reduced three-dimensional dynamic structural model for structural health assessment
Dynamic models of elastic structures are derived using approximations of linear three dimensional elasticity. A model for the three dimensional motion of a nonsymmetric structure ...
Luther White
CORR
2007
Springer
193views Education» more  CORR 2007»
15 years 4 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...