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SIAMSC
2010
114views more  SIAMSC 2010»
14 years 10 months ago
Smoothed Aggregation Multigrid for Markov Chains
Abstract. A smoothed aggregation multigrid method is presented for the numerical calculation of the stationary probability vector of an irreducible sparse Markov chain. It is shown...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
COCOON
2009
Springer
15 years 6 months ago
On the Diaconis-Gangolli Markov Chain for Sampling Contingency Tables with Cell-Bounded Entries
The problems of uniformly sampling and approximately counting contingency tables have been widely studied, but efficient solutions are only known in special cases. One appealing ap...
Ivona Bezáková, Nayantara Bhatnagar,...
ICC
2009
IEEE
184views Communications» more  ICC 2009»
15 years 6 months ago
A 3-D Markov Chain Queueing Model of IEEE 802.11 DCF with Finite Buffer and Load
—We introduce a 3-dimensional Markov chain that integrates the IEEE 802.11 DCF contention resolution and queueing processes into one model. Important QoS measures, delay and loss...
Ren Ping Liu, Gordon Sutton, Iain B. Collings
AMC
2008
99views more  AMC 2008»
14 years 12 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ICCV
2001
IEEE
16 years 1 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum