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» An Optimality Principle for Concurrent Systems
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CVPR
2009
IEEE
15 years 2 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 5 days ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
ICEC
1994
82views more  ICEC 1994»
13 years 8 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
13 years 5 months ago
Adaptive control using retrospective cost optimization with RLS-based estimation for concurrent Markov-parameter updating
We present a discrete-time adaptive control law that is effective for systems that are MIMO and either minimum phase or nonminimum phase. The adaptive control algorithm provides gu...
Mario A. Santillo, Matthew S. Holzel, Jesse B. Hoa...
HOTOS
2007
IEEE
13 years 11 months ago
Is the Optimism in Optimistic Concurrency Warranted?
Optimistic synchronization allows concurrent execution of critical sections while performing dynamic conflict detection and recovery. Optimistic synchronization will increase perf...
Donald E. Porter, Owen S. Hofmann, Emmett Witchel