Results 21 to 30 of about 401,816 (284)
A Continuous-Time Semi-Markov System Governed by Stepwise Transitions
Mathematics, 2022 In this paper, we introduce a class of stochastic processes in continuous time, called step semi-Markov processes. The main idea comes from bringing an additional insight to a classical semi-Markov process: the transition between two states is ...
Vlad Stefan Barbu +2 more
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Application of improved grey model residual modified fusion algorithm in dissolved gas forecasting
The Journal of Engineering, 2019 The power transformer directly affects whether the power system can operate safely and reliably, and the prediction of the dissolved gas content in the transformer oil is an effective means to discover transformer defects and latent faults, which helps ...
Wenjie Wu, Yigang He, Jiajun Duan
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Spatio-temporal Markov chain model for very-short-term wind power forecasting
The Journal of Engineering, 2019 Wind power forecasting (WPF) is crucial in helping schedule and trade wind power generation at various spatial and temporal scales. With increasing number of wind farms over a region, research focus of WPF methods has been recently moved onto exploring ...
Yongning Zhao +7 more
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Implementing Markovian models for extendible Marshall–Olkin distributions
Dependence Modeling, 2022 We derive a novel stochastic representation of exchangeable Marshall–Olkin distributions based on their death-counting processes. We show that these processes are Markov.
Sloot Henrik
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Научный вестник МГТУ ГА, 2021 In civil aviation primary focus is on the quality of fuel filled in the aircraft fuel tanks, as one of the components of flight safety ensuring. The introduction of digital technologies and trends in automation, digitalization of modern civil aviation ...
V. M. Samoilenko +3 more
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Consistency of Feature Markov Processes [PDF]
, 2010 We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed to summarize useful information from the history.
Hutter, Marcus, Sunehag, Peter
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Positivity-hardness results on Markov decision processes [PDF]
TheoretiCSThis paper investigates a series of optimization problems for one-counter Markov decision processes (MDPs) and integer-weighted MDPs with finite state space.
Jakob Piribauer, Christel Baier
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Trace Refinement in Labelled Markov Decision Processes [PDF]
Logical Methods in Computer Science, 2020 Given two labelled Markov decision processes (MDPs), the trace-refinement problem asks whether for all strategies of the first MDP there exists a strategy of the second MDP such that the induced labelled Markov chains are trace-equivalent.
Nathanaël Fijalkow +2 more
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Entropic Regularization of Markov Decision Processes
Entropy, 2019 An optimal feedback controller for a given Markov decision process (MDP) can in principle be synthesized by value or policy iteration. However, if the system dynamics and the reward function are unknown, a learning agent must discover an optimal ...
Boris Belousov, Jan Peters
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Overall computing offloading strategy based on deep reinforcement learning in vehicle fog computing
The Journal of Engineering, 2020 In order to solve the problem of network congestion caused by a large number of data requests generated by intelligent vehicles in LTE-V network, a brand-new fog server with fog computing function is deployed on both the cellular base stations and ...
HaiZhong Tan, Limin Zhu
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