doi:10.1016/0377-2217(95)90049-7NoneEuropean Journal of Operational Research
Markov Models and Optimization 作者: Davis, M. H. A. 出版年: 1993-8页数: 316定价: $ 189.78ISBN: 9780412314100豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介 ··· This book presents a radically new approach to problems of evaluating and optimizing the performan...
W. J. Green-Markov models - new optimization strategies: a case study for user allocation in co-channel macro/femto networks. Journal of Microwaves, Optoelectronics and Electromagnetic Applications. 2012. 70 CISCO, Cisco Virtual Networking Index: Global Mobile Data Traffic Forecast Update 2013-2018....
58 -- 4:27 App 2-Markov-Models-YouTube 1515 -- 6:26 App 金权社会 Deep State 新世界秩序 1395 1 30:43 App 5. CA Markov教程 适宜性图集+Markov操作 85 -- 1:00:48 App RI Seminar: Sergey Levine : Deep Robotic Learning 796 -- 29:53 App CVaR Optimization for Sequential Decisions...
Markov-switching models are not limited to two regimes, although two-regime models are common. In the example above, we described the switching as being abrupt; the probability instantly changed. Such Markov models are called dynamic models. Markov models can also accommodate smoother changes by mo...
It is the theoretical basis for combination of the two models in this study. The experimental results show that the combination of the LSTM and Markov model could improve the prediction accuracy of the epidemic trend effectively, and the prediction effect is also in line with reality, which has...
This book deals with theoretical and numerical aspects of simulation and optimization for piecewise deterministic Markov processes (PDMP's). PDMP's form a general class of stochastic hybrid models covering a large number of problems such as engineering systems, operation research, economics, management...
Considering that the pure mathematical programming models commonly used in the literature mostly focus on the short-term optimization of surgery schedules, we propose a novel two-phase optimization model that combines Markov decision process (MDP) and stochastic programming to improve the long-term ...
Markov Reward Models and Markov Decision Processes in Discrete and Continuous Time: Performance Evaluation and Optimization State-based systems with discrete or continuous time are often modelled with the help of Markov chains. In order to specify performance measures for such s... A Gouberman,M Si...
Robust speech recognition based on joint model and feature space optimization of hidden Markov models The hidden Markov model (HMM) inversion algorithm, based on either the gradient search or the Baum-Welch reestimation of input speech features, is proposed... S Moon,JN Hwang - 《IEEE Transactio...