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CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 6 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 6 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 5 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
16 years 1 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 11 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