Results 261 to 270 of about 2,925,749 (309)

Heuristics as Markov chains

Annals of Mathematics and Artificial Intelligence, 2014
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Monte Carlo Sampling Methods Using Markov Chains and Their Applications

, 1970
W. Hastings
semanticscholar   +1 more source

Pairwise markov chains

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
We propose a model called a pairwise Markov chain (PMC), which generalizes the classical hidden Markov chain (HMC) model. The generalization, which allows one to model more complex situations, in particular implies that in PMC the hidden process is not necessarily a Markov process.
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Markov chains and mixing times

, 2013
V. Climenhaga
semanticscholar   +1 more source

On a ψ-Mixing property for Entangled Markov Chains

Physica A: Statistical Mechanics and Its Applications, 2023
Abdessatar Souissi
exaly  

Transients in Markov Chains

IEEE Transactions on Electronic Computers, 1963
Jack Sklansky, Kenneth R. Kaplan
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Markov Chains and Monte Carlo Markov Chains

2013
The theory of Markov chains is rooted in the work of Russian mathematician Andrey Markov, and has an extensive body of literature to establish its mathematical foundations. The availability of computing resources has recently made it possible to use Markov chains to analyze a variety of scientific data, and Monte Carlo Markov chains are now one of the ...
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Markov chains

Heavy-Tailed Time Series, 2020
Rafal Kulik, P. Soulier
semanticscholar   +1 more source

Non-negative Matrices and Markov Chains

, 2008
E. Seneta
semanticscholar   +1 more source

Markov Chain Robustness.

When a Markov chain models nature or social interactions, it is likely not followed exactly, but only approximately. We therefore introduce several notions of robustness for a Markov chain P. Our standard adversary can dynamically change transition probabilities of P by 1 ± ε, and our strong adversary can completely control each transition ...
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