Results 41 to 50 of about 116,234 (262)
Estimating hidden semi-Markov chains from discrete sequences. [PDF]
, 2003 International audienceThis article addresses the estimation of hidden semi-Markov chains from nonstationary discrete sequences. Hidden semi-Markov chains are particularly useful to model the succession of homogeneous zones or segments along sequences.
Guédon, Yann
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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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Hidden semi-Markov models for rainfall-related insurance claims
Insurance: Mathematics and Economics, 2023 We analyze the temporal structure of a novel insurance dataset about home insurance claims related to rainfall-induced damage in Norway, and employ a hidden semi-Markov model to capture the non-Gaussian nature and temporal dynamics of these claims. By exploring a wide range of candidate distributions and evaluating their goodness-of-fit as well as ...
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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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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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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Optimal Detection and Error Exponents for Hidden Semi-Markov Models [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2018 We study detection of random signals corrupted by noise that over time switch their values (states) between a finite set of possible values, where the switchings occur at unknown points in time. We model such signals as hidden semi-Markov signals (HSMS), which generalize classical Markov chains by introducing explicit (possibly non-geometric ...
Dragana Bajovic +4 more
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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
doaj
A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters
IEEE Access, 2021 In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate
Gerald Rocher +2 more
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