Results 81 to 90 of about 116,234 (262)
hhsmm: an R package for hidden hybrid Markov/semi-Markov models
Computational Statistics, 2022 This paper introduces the hhsmm R package, which involves functions for initializing, fitting, and predication of hidden hybrid Markov/semi-Markov models. These models are flexible models with both Markovian and semi-Markovian states, which are applied to situations where the model involves absorbing or macro-states.
Morteza Amini +2 more
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Jixie qiangdu, 2017 With the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is ...
JI Yun +3 more
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Finite-Time Asynchronous H∞ Control for Non-Homogeneous Hidden Semi-Markov Jump Systems
MathematicsThis article explores the finite-time control problem associated with a specific category of non-homogeneous hidden semi-Markov jump systems. Firstly, a hidden semi-Markov model is designed to characterize the asynchronous interactions that occur between
Qian Wang +3 more
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SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules. [PDF]
PLoS ONE, 2016 The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods ...
Haitao Guo, Hongwei Huo, Qiang Yu
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Energy Disaggregation for Real-Time Building Flexibility Detection [PDF]
, 2016 Energy is a limited resource which has to be managed wisely, taking into account both supply-demand matching and capacity constraints in the distribution grid.
Gibescu, Madeleine +2 more
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Route Restoring Based on Hidden Semi-Markov Model
Advances in Intelligent Systems Research, 2014 Present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we apply the Hidden SemiMarkov model and Mean Value method to demonstrate
Jian Ye, Guannan Wang, Zhenmin Zhu
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Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network
Medical Devices: Evidence and Research, 2022 Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
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A decision-theoretic approach for segmental classification
, 2013 This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underlying hidden discrete state sequence.
Holmes, Christopher C., Yau, Christopher
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Maximum likelihood estimation for hidden semi-Markov models
Comptes Rendus. Mathématique, 2006 Abstract In this Note we consider a discrete-time hidden semi-Markov model and we prove that the nonparametric maximum likelihood estimators for the characteristics of such a model have nice asymptotic properties, namely consistency and asymptotic normality. To cite this article: V. Barbu, N. Limnios, C. R. Acad. Sci. Paris, Ser. I 342 (2006).
Nikolaos Limnios, Vlad Stefan Barbu
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Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models [PDF]
Journal of Computational and Graphical Statistics, 2019 Bayesian inference for coupled hidden Markov models frequently relies on data augmentation techniques for imputation of the hidden state processes. Considerable progress has been made on developing such techniques, mainly using Markov chain Monte Carlo (MCMC) methods.
Simon E. F. Spencer +2 more
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