1150 search results - page 87 / 230 » Tackling Large State Spaces in Performance Modelling |
119
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IPPS
2002
IEEE
15 years 6 months ago
2002
IEEE
Multiple memory module architecture enjoys higher memory access bandwidth and thus higher performance. Two key problems in gaining high performance in this kind of architecture ar...
116
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DAC
1997
ACM
15 years 5 months ago
1997
ACM
The biggest obstacle in the formal verification of large designs is their very large state spaces, which cannot be handled even by techniques such as implicit state space travers...
JCNS
2010
15 years 20 hour ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
151
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DSN
2011
IEEE
14 years 1 months ago
2011
IEEE
—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
112
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CDC
2009
IEEE
15 years 6 months ago
2009
IEEE
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 ...