Results 31 to 40 of about 6,719 (190)
Semi-Markov and hidden semi-Markov models of energy systems [PDF]
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems. The solution of this problem is possible based on construction of mathematical models concerning different aspects of these systems ...
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A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition
Discrete Dynamics in Nature and Society, 2015 Intention recognition is significant in many applications. In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode.
Shi-guang Yue +3 more
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Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition
International Journal of Distributed Sensor Networks, 2018 Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun +3 more
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Hidden semi-Markov models for rainfall-related insurance claims
Insurance: Mathematics and Economics, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Shi +3 more
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The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]
Biom JABSTRACT Clinical trials often compare a treatment to a control group concerning multiple possible combined time‐to‐event endpoints like hospital‐free survival. Thereby, the first endpoint may occur more than once (“recurrent”), whereas the second endpoint is absorbing. Inclusion of all observed events in the analysis can increase the power and provide
Schmeller S +4 more
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Quantile hidden semi-Markov models for multivariate time series
Statistics and Computing, 2022 This paper develops a quantile hidden semi-Markov regression to jointly estimate multiple quantiles for the analysis of multivariate time series. The approach is based upon the Multivariate Asymmetric Laplace (MAL) distribution, which allows to model the quantiles of all univariate conditional distributions of a multivariate response simultaneously ...
Luca Merlo +3 more
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Complexity, 2018 We present a novel computational technique intended for the robust and adaptable control of a multifunctional prosthetic hand using multichannel surface electromyography.
Nebojša Malešević +5 more
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Artificial Intelligence, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Process Discovery Using Classification Tree Hidden Semi-Markov Model [PDF]
2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), 2016 Various and ubiquitous information systems are being used in monitoring, exchanging, and collecting information. These systems are generating massive amount of event sequence logs that may help us understand underlying phenomenon. By analyzing these logs, we can learn process models that describe system procedures, predict the development of the system,
Kang, Yihuang, Zadorozhny, Vladimir
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Peer Community JournalState-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas +8 more
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