Results 291 to 300 of about 575,581 (334)

Markov Processes

2014
This chapter deals with Markov processes. It first defines the “Markov property” and shows that all the relevant information about a Markov process assuming values in a finite set of cardinality n can be captured by a nonnegative n x
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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 processes

2001
openaire   +1 more source

Markov State Models: From an Art to a Science

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

Markov processes

2008
openaire   +1 more source

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  

Denumerable Markov Processes (III)

Journal of the London Mathematical Society, 1959
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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