Results 261 to 270 of about 48,213 (289)

Markov Decision Processes

2019
This chapter considers the problem of minimizing the expectation of a reward for a controlled Markov chain process, either with a finite horizon, or an infinite one for which the reward has discounted values, including the cases of exit times and stopping decisions. The value and policy (Howard) iterations are compared.
openaire   +1 more source

$\mathcal {H}_{\infty }$ 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  

Markov decision processes

2001
openaire   +2 more sources

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  

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  

Markov Decision Processes

2020
openaire   +1 more source

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