Results 11 to 20 of about 86,980 (313)
Line spectrum extraction method based on hidden Markov model
To solve the difficult problem of line spectrum detection with a low signal‐to‐noise ratio, a line spectrum extraction algorithm based on a hidden Markov model (HMM) is proposed.
Kai Ma +4 more
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Synchronizing Objectives for Markov Decision Processes [PDF]
We introduce synchronizing objectives for Markov decision processes (MDP). Intuitively, a synchronizing objective requires that eventually, at every step there is a state which concentrates almost all the probability mass.
Mahsa Shirmohammadi +2 more
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Abstraction-Based Planning for Uncertainty-Aware Legged Navigation
This article addresses the problem of temporal-logic-based planning for bipedal robots in uncertain environments. We first propose an Interval Markov Decision Process abstraction of bipedal locomotion (IMDP-BL). Motion perturbations from multiple sources
Jesse Jiang, Samuel Coogan, Ye Zhao
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Quantum Semi-Markov Processes [PDF]
We construct a large class of non-Markovian master equations that describe the dynamics of open quantum systems featuring strong memory effects, which relies on a quantum generalization of the concept of classical semi-Markov processes. General conditions for the complete positivity of the corresponding quantum dynamical maps are formulated.
H. P. Breuer, B. Vacchini
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Implementing Markovian models for extendible Marshall–Olkin distributions
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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Controlled Discrete-Time Semi-Markov Random Evolutions and Their Applications
In this paper, we introduced controlled discrete-time semi-Markov random evolutions. These processes are random evolutions of discrete-time semi-Markov processes where we consider a control. applied to the values of random evolution.
Anatoliy Swishchuk, Nikolaos Limnios
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Rank-Driven Markov Processes [PDF]
32 pages, 2 colour ...
Grinfeld, Michael +2 more
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Application of improved grey model residual modified fusion algorithm in dissolved gas forecasting
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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Markov Processes in Data Center Networks
A data center network is an important infrastructure in various applications of modern information technologies. Data centers store files with useful information, but the lifetime of these data centers is limited.
Fan-Qi Ma, Rui-Na Fan
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Estimation and control using sampling-based Bayesian reinforcement learning
Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modelling errors.
Patrick Slade +3 more
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