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SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
13 years 8 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...
INFOCOM
2002
IEEE
13 years 9 months ago
Exact sampling of TCP Window States
We demonstrate how to apply Coupling from the Past, a simulation technique for exact sampling, to Markov chains based on TCP variants. This approach provides a new, statistically ...
Ashish Goel, Michael Mitzenmacher
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
13 years 9 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
VALUETOOLS
2006
ACM
125views Hardware» more  VALUETOOLS 2006»
13 years 10 months ago
An approximative method for calculating performance measures of Markov processes
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...
Juha Leino, Jorma T. Virtamo
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 4 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...