Results 1 to 10 of about 66,463 (260)
Hidden semi-Markov Model based earthquake classification system using Weighted Finite-State Transducers [PDF]
Nonlinear Processes in Geophysics, 2011 Automatic earthquake detection and classification is required for efficient analysis of large seismic datasets. Such techniques are particularly important now because access to measures of ground motion is nearly unlimited and the target waveforms ...
M. Beyreuther, J. Wassermann
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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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Large-vocabulary speaker-independent continuous speech recognition with semi-continuous hidden Markov models [PDF]
, 1989 A semi-continuous hidden Markov model based on the muluple vector quantization codebooks is used here for large.vocabulary speaker-independent continuous speech recognition in the techn,ques employed here.
H. W. Hon, K. F. Lee, X. D. Huang
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Capacity and Complexity of HMM Duration Modeling Techniques [PDF]
, 2005 The ability of a standard hidden Markov model (HMM) or expanded state HMM (ESHMM) to accurately model duration distributions of phonemes is compared with specific duration-focused approaches such as semi-Markov models or variable transition probabilities.
Johnson, Michael T
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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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Fatigue crack fault diagnosis and prognosis based on hidden semi-Markov model
The Journal of Engineering, 2018 Aiming at the fault diagnosis and remaining useful life (RUL) prediction of fatigue cracks of a helicopter main gearbox planet carrier, this article proposes a hidden semi-Markov model (HSMM) methodology, which introduces the explicit state durational ...
Lei Fan +3 more
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Partially-Hidden Markov Models. [PDF]
, 2012 International audienceThis paper addresses the problem of Hidden Markov Models (HMM) training and inference when the training data are composed of feature vectors plus uncertain and imprecise labels.
Denoeux, Thierry +2 more
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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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Production flow modeling based on BLE-based RSSI data with non-detectable areas [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 This study presents a method for modelling manufacturing processes to predict key performance indicators (KPIs) such as cycle time using Bluetooth Low Energy (BLE) data. We consider BLE applications to be similar to Radio-Frequency IDentification (RFID)
Karishma Agrawal, Supachai Vorapojpisut
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Methods in Ecology and Evolution, 2023 Every year, millions of birds migrate between breeding and nonbreeding habitat, but the relative numbers of animals moving between sites are difficult to observe directly.
Sam Nicol +6 more
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