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» A Predictive Model for Dynamic Microarchitectural Adaptivity...
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116
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ATAL
2010
Springer
15 years 3 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
110
Voted
BMAS
2000
IEEE
15 years 7 months ago
Dynamic Time Step Control Algorithm Enhancements
Analog simulators typically use a dynamic, adaptive time step control strategy in order to minimize the calculations performed during inactive portions of a system’s operation, ...
James C. (Jim) Bach
126
Voted
CVPR
2005
IEEE
16 years 4 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
99
Voted
ESANN
2000
15 years 3 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede
121
Voted
IEICET
2008
136views more  IEICET 2008»
15 years 2 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita