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CPC
2004
83views more  CPC 2004»
14 years 11 months ago
Embedding a Markov Chain into a Random Walk on a Permutation Group
Using representation theory, we obtain a necessary and sufficient condition for a discrete
Steven N. Evans
JIRS
2000
121views more  JIRS 2000»
14 years 11 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
14 years 11 months ago
Passage time distributions in large Markov chains
Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
Peter G. Harrison, William J. Knottenbelt
ICPR
2010
IEEE
15 years 6 months ago
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
ICARIS
2005
Springer
15 years 5 months ago
A Markov Chain Model of the B-Cell Algorithm
An exact Markov chain model of the B-cell algorithm (BCA) is constructed via a novel possible transit method. The model is used to formulate a proof that the BCA is convergent abso...
Edward Clark, Andrew Hone, Jon Timmis