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» The Shortcut Problem - Complexity and Approximation
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RTCSA
2005
IEEE
15 years 9 months ago
Approximation Algorithms for Scheduling Multiple Feasible Interval Jobs
Abstract— Time-critical jobs in many real-time applications have multiple feasible intervals. Such a job is constrained to execute from start to completion in one of its feasible...
Jian-Jia Chen, Jun Wu, Chi-Sheng Shih, Tei-Wei Kuo
AUSAI
2005
Springer
15 years 9 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
15 years 8 months ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
ALT
2010
Springer
15 years 5 months ago
Approximation Stability and Boosting
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient ...
Wei Gao, Zhi-Hua Zhou
123
Voted
NIPS
2004
15 years 5 months ago
Expectation Consistent Free Energies for Approximate Inference
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Manfred Opper, Ole Winther