Results 271 to 280 of about 65,379 (309)

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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In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling

Nature Electronics, 2021
Thomas Dalgaty, Damien Querlioz, Elisa Vianello   +2 more
exaly  

$\mathcal {H}_{\infty }$ Synchronization for Fuzzy Markov Jump Chaotic Systems With Piecewise-Constant Transition Probabilities Subject to PDT Switching Rule

IEEE Transactions on Fuzzy Systems, 2021
Jing Wang, Jianwei Xia
exaly  

Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model

Sustainable Cities and Society, 2020
Xuewei Dang, Shaohua Wang
exaly  

Markov State Models: From an Art to a Science

Journal of the American Chemical Society, 2018
Brooke E Husic, Vijay S Pande
exaly  

Markov chains

2001
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Predicting transmembrane protein topology with a hidden markov model: application to complete genomes11Edited by F. Cohen

Journal of Molecular Biology, 2001
Anders Krogh, Gunnar Von Heijne
exaly  

Speech Synthesis Based on Hidden Markov Models

Proceedings of the IEEE, 2013
Yoshihiko Nankaku, Tomoki Toda, Junichi Yamagishi   +2 more
exaly  

Complete protein–protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling

Nature Chemistry, 2017
Stefan Doerr, Gianni De Fabritiis, Frank Noé   +2 more
exaly  

An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2011
Finn Lindgren, Håvard Rue, Johan Lindström   +2 more
exaly