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Advanced Search Results For "EXPECTATION-maximization algorithms"

1 - 10 of 6,290 results for
 "EXPECTATION-maximization algorithms"
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Estimation Using Suggested EM Algorithm Based on Progressively Type-II Censored Samples from a Finite Mixture of Truncated Type-I Generalized Logistic Distributions with an Application.

Publication Type: Academic Journal

Source(s): Mathematical Problems in Engineering. 5/11/2022, p1-8. 8p.

Abstract: In this paper, the identifiability property has been studied for a suggested truncated type-I generalized logistic mixture model which is denoted by TTIGL . A suggested form of the EM algorithm has been applied on type-II progressive censored samples t...

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Simulation of Logistics Delay in Bayesian Network Control Based on Genetic EM Algorithm.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 4/7/2022, p1-13. 13p.

Authors:

Abstract: With the continuous development of e-commerce, the logistics industry is thriving, and logistics delays have become an issue that deserves more and more attention. Genetic EM algorithm is a genetic EM algorithm that is an iterative optimization strateg...

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Unsupervised Ensemble Classification With Sequential and Networked Data.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Knowledge & Data Engineering. Oct2022, Vol. 34 Issue 10, p5009-5022. 14p.

Abstract: Ensemble learning, the machine learning paradigm where multiple models are combined, has exhibited promising perfomance in a variety of tasks. The present work focuses on unsupervised ensemble classification. The term unsupervised refers to the ensembl...

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Model and Verification of Medical English Machine Translation Based on Optimized Generalized Likelihood Ratio Algorithm.

Publication Type: Academic Journal

Source(s): Journal of Sensors. 12/28/2021, p1-7. 7p.

Authors:

Abstract: Phrase identification plays an important role in medical English machine translation. However, the phrases in medical English are complicated in internal structure and semantic relationship, which hinders the identification of machine translation and t...

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Some simulation/computation in multivariate linear models of scale mixtures of skew-normal-Cauchy distributions.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 11, p6425-6440. 16p.

Abstract: In this work, we extend standard likelihood-based procedures to the multivariate linear model using the scale mixtures of multivariate skew-normal-Cauchy distributions. A simple EM algorithm for iteratively computing maximum likelihood estimates is der...

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A gamma-frailty model for interval-censored data with dependent examination times: a computationally efficient approach.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 10, p6071-6082. 12p.

Abstract: Interval-censored survival data arise naturally in many fields such as medical follow-up studies, in which the event or failure is not observed exactly but only known to occur within a time interval. Most existing approaches for analyzing interval-cens...

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General EM algorithm for fitting non-monotone hazard functions from truncated and censored observations.

Publication Type: Academic Journal

Source(s): Operations Research Letters. Sep2022, Vol. 50 Issue 5, p476-483. 8p.

Abstract: Recently, many researchers focused on modeling non-monotonic hazard functions such as bath-tube and hump shapes. However, most of their estimation methods are focused on complete observations. Since reliability data are typically censored and truncated...

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Regression modelling of interval censored data based on the adaptive ridge procedure.

Publication Type: Academic Journal

Source(s): Journal of Applied Statistics. Oct2022, Vol. 49 Issue 13, p3319-3343. 25p. 8 Charts, 1 Graph.

Abstract: A new method for the analysis of time to ankylosis complication on a dataset of replanted teeth is proposed. In this context of left-censored, interval-censored and right-censored data, a Cox model with piecewise constant baseline hazard is introduced....

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A multivariate zero-inflated binomial model for the analysis of correlated proportional data.

Publication Type: Academic Journal

Source(s): Journal of Applied Statistics. Sep2022, Vol. 49 Issue 11, p2740-2766. 27p. 8 Charts, 1 Graph.

Abstract: In this paper, a new multivariate zero-inflated binomial (MZIB) distribution is proposed to analyse the correlated proportional data with excessive zeros. The distributional properties of purposed model are studied. The Fisher scoring algorithm and EM ...

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Semi-supervised clustering of time-dependent categorical sequences with application to discovering education-based life patterns.

Publication Type: Academic Journal

Source(s): Statistical Modelling: An International Journal. Oct2022, Vol. 22 Issue 5, p457-476. 20p.

Abstract: A new approach to the analysis of heterogeneous categorical sequences is proposed. The first-order Markov model is employed in a finite mixture setting with initial state and transition probabilities being expressed as functions of time. The expectatio...

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