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CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 1 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
CPC
2004
83views more  CPC 2004»
15 years 1 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
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
15 years 29 days 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 8 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 6 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