Results 291 to 300 of about 23,984,619 (356)
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IEEE Transactions on Cybernetics, 2020
This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems (HMJSs) by using the Takagi–Sugeno fuzzy model method.
Chengcheng Ren +4 more
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This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems (HMJSs) by using the Takagi–Sugeno fuzzy model method.
Chengcheng Ren +4 more
semanticscholar +1 more source
Current Opinion in Structural Biology, 1996
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and ...
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'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and ...
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Computer Graphics and Image Processing, 1980
Publisher Summary This chapter reviews the Markov Mesh models as originally given in the works of Abend, Harley, and Kanal. It also presents some inputs on some related references and developments of Markov Random Fields (MRF) models. The Markov Mesh models presented in the works of these authors sought to incorporate spatial dependence in reducing ...
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Publisher Summary This chapter reviews the Markov Mesh models as originally given in the works of Abend, Harley, and Kanal. It also presents some inputs on some related references and developments of Markov Random Fields (MRF) models. The Markov Mesh models presented in the works of these authors sought to incorporate spatial dependence in reducing ...
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IEEE transactions on fuzzy systems, 2018
This paper is concerned with the fuzzy-model-based nonfragile control problem for discrete-time nonlinear singularly perturbed systems with stochastic jumping parameters. The stochastic parameters are generated from the semi-Markov process.
Hao Shen +4 more
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This paper is concerned with the fuzzy-model-based nonfragile control problem for discrete-time nonlinear singularly perturbed systems with stochastic jumping parameters. The stochastic parameters are generated from the semi-Markov process.
Hao Shen +4 more
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Canadian Journal of Statistics, 1975
AbstractFor the general linear model Y = X$sZ + e in which e has a singular dispersion matrix $sG2A, $sG > 0, where A is n x n and singular, Mitra [2] considers the problem of testing F$sZ, where F is a known q x q matrix and claims that the sum of squares (SS) due to hypothesis is not distributed (as a x2 variate with degrees of freedom (d.
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AbstractFor the general linear model Y = X$sZ + e in which e has a singular dispersion matrix $sG2A, $sG > 0, where A is n x n and singular, Mitra [2] considers the problem of testing F$sZ, where F is a known q x q matrix and claims that the sum of squares (SS) due to hypothesis is not distributed (as a x2 variate with degrees of freedom (d.
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2014
When accurately estimated and validated, Markov model transition matrices contain information of the long-time molecular kinetics and thermodynamic properties of the molecular system studied, approximated on the discrete state space. Thus, many quantities of interest to the molecular scientist can now be calculated from the Markov model transition ...
Frank Noé, Jan-Hendrik Prinz
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When accurately estimated and validated, Markov model transition matrices contain information of the long-time molecular kinetics and thermodynamic properties of the molecular system studied, approximated on the discrete state space. Thus, many quantities of interest to the molecular scientist can now be calculated from the Markov model transition ...
Frank Noé, Jan-Hendrik Prinz
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Fast map matching, an algorithm integrating hidden Markov model with precomputation
International Journal of Geographical Information Science, 2018Can Yang, Gyözö Gidófalvi
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