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HMM-CPM: a cloud instance resource prediction method tracing the workload trends via hidden Markov model
Accurate prediction of cloud resource instances is becoming increasingly important for public cloud users and cloud service providers, because it...
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Hidden Markov Model
This chapter first introduces the basic concepts of the Hidden Markov Model, and then describes the probability calculation algorithms, learning...
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An intelligent model to decode students’ behavioral states in physical education using back propagation neural network and Hidden Markov Model
This paper highlights the need for intelligent analysis of students’ behavioral states in physical education tasks. The hand-ring inertial data is...
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A Latent Hidden Markov Model for Process Data
Response process data from computer-based problem-solving items describe respondents’ problem-solving processes as sequences of actions. Such data...
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A secure adaptive Hidden Markov Model-based JPEG steganography method
This study introduces J-HMMSteg , an adaptive and secure JPEG image steganography technique designed for data embedding with minimal distortion....
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Hidden Markov model with missing emissions
In a Hidden Markov model (HMM), from hidden states, the model generates emissions that are visible. Generally, the problems to be solved by such...
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Selective inference for false discovery proportion in a hidden Markov model
We address the multiple testing problem under the assumption that the true/false hypotheses are driven by a hidden Markov model (HMM), which is...
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Hidden Markov Models
A Markov model describes a sequence of possible states with random transition between states where the probability of the current state depends only...
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Hidden Markov Model
A problem that researchers often face when constructing the models is that the observations obtained are incomplete, either by physical...
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Pose recognition in national dance using contour model, hidden Markov model, and Baum–Welch algorithm
Video analysis of human motion has been widely used in intelligent monitoring, motion recognition, and virtual reality as a research hotspot in...
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Bayesian Analysis of Proportions via a Hidden Markov Model
Time series of proportions arise in many contexts. In this paper, we consider a hidden Markov model (HMM) to describe temporal dependence in such...
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Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Motor imagery (MI) is a high-level cognitive process that has been widely applied to brain-computer inference (BCI) and motor recovery. In practical...
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Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model
The accurate estimation of geological risks is essential for preventing geohazards, and ensuring efficient and safe construction processes. This...
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Segmentation of the Human Gait Cycle Using Hidden Markov Models (HMM)
This paper provides a supervised Hidden Markov Model (HMM) for the segmentation of the human gait cycle. The model arises, in turn, from the...
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Hidden Markov Model-Based Control
This paper is concerned with the hidden Markov model (HMM)-based sliding mode control (SMC) problem for uncertain Markovian jump discrete systems...
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A Hidden Markov Model-based fuzzy modeling of multivariate time series
This study elaborates on a novel Hidden Markov Model (HMM)-based fuzzy model for time series prediction. Fuzzy rules (rule-based models) are employed...
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Modeling Markov sources and hidden Markov models by P systems
In this work, we provide several algorithms to obtain stochastic transition P systems from Markov sources and Hidden Markov Models. In both cases,...
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Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach
In this paper, we propose a new estimation method for a nonparametric hidden Markov model (HMM), in which both the emission model and the transition...
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Packet loss concealment method based on hidden Markov model and decision tree for AMR-WB codec
Packet loss concealment (PLC) techniques are utilized to improve the quality of Voice over IP (VoIP) communications by reconstructing missing speech...
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Cyst identification in retinal optical coherence tomography images using hidden Markov model
Optical Coherence Tomography (OCT) is a useful imaging modality facilitating the capturing process from retinal layers. In the salient diseases of...
