Finite mixture model
Finite mixture model approach applied in the analysis of a turbulent bistable flow on two rows tube bank
... Fig. 5: (a, b) Velocity series. (c, d) PDF of the velocity series. (e, f) Joint CWT/DWT of the velocity series. Finite mixture model simulations were performed to know what PDF is more likely to have ...
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Document Classification Using a Finite Mixture Model
... Experimental results indicate that our method of using the finite mixture model outperforms the method based on hard clustering of words.. Experimental results also indicate that in some[r] ...
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Topic Analysis Using a Finite Mixture Model
... When a text had not been segmented i.e., has only one block, all top k seed words were considered to represent main topics... Table 1 lists the largest 10 categories in the Reuters data.[r] ...
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Using a Finite Mixture Model-Based Clustering Approach to Identify Move and Wait Strategies.
... increasingly piecemeal movements as latency increases. The operators will move a little, wait to see the results, and then move again. Detection of strategy use has relied on coarse measures: visual inspection or ...
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Classification of Glioblastoma Multiforme Patients Based on an Integrative Multi-Layer Finite Mixture Model System
... a mixture of linear models were built for each gene using its expression as output and a mixture of multi-‘omic’ data as ...Each model was coupled with a lasso penalization scheme, and thanks to the ...
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Unsupervised Learning Of Finite Mixture Models With Deterministic Annealing For Large scale Data Analysis
... the finite mixture model is to search an optimal model parameter set to fit observed sample data, called mixture model fitting, from a large param- eter ...the mixture ...
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Penalized Latent Variable Estimator For Finite Mixture of Regression Models.
... the finite mixture model framework, when an exponential family density is used to describe the components, a generalized linear model can be implemented as a general regression ...a ...
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Bayesian Finite Mixture Negative Binomial Model for Over-dispersed Count Data with Application to DMFT Index Data
... Poisson model is used [5-6], due to existence of overdispersion mainly due to generation of excess ...Poisson model could be a viable alternative to the joint modeling of excess of zeros and over- ...
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Estimation of Finite Mixture Models
... finite mixture models [3, 4, 5]. Finite mixture models decompose a density 1 function into component density func- tions, where each component describes a particular ...finite mixture models ...
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Semivariogram modeling using mixture semivariogram model
... From the numerical summary, the wells has the k- fracture average 44.95 with adequately high dispersion, 16.95. there are 23 wells (68% of 33 wells) having k- fracture included on the interval (28.0, 61.9). From ...
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A mixture model for the dynamic of the gut mucus layer
... The model for the bulk velocity could also incorporate additional viscosity term, as described in Remark ...a model with momentum balance equations for the velocities u M , u L of the ...
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A model for dip coating of a two liquid mixture
... a mixture of two miscible liquids, of equal viscosity, and develop a model to predict the evolving coating ...developed model can, under certain circumstances, be used as an approximation for the ...
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Neighborhood Mixture Model for Knowledge Base Completion
... As presented in Table 3, for entity predic- tion using WN11, TransE-NMM with the filter- ing threshold τ = 10 only obtains better mean rank than TransE (about 15% relative improve- ment) but lower Hits@10 and mean ...
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Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
... Our aim of this paper is the estimation of the parame- ters and functions of these parameters of a class of finite mixture distributions based on doubly Type II censoring gos’s using ML and Bayes methods. ...
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A Mixture Model with Sharing for Lexical Semantics
... novel model for dis- tributional lexical semantics capable of capturing both shared (context-independent) and idiosyncratic (context-dependent) structure in a set of word occur- ...tiered model were most ...
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A misspecification test for finite mixture logistic models for clustered binary and ordered responses
... The performance of the proposed approach is evaluated through a Monte Carlo sim- ulation study that provides satisfactorily results under different scenarios. In particular, we observe good size properties under the null ...
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Finite element model of the bed
... As we mentioned above, parametric model is sufficiently complex for realization of optimization ana- lysis of geometry. However, before this analysis extended investigation of verification of mechanical material ...
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Bifurcation for model of the 3He 4He liquid mixture
... liquid mixture of helium-3 and helium-4 has either a superfluid phase or phase separation when the temperature decreases or the mole fraction of helium-3 ...
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Bayesian Inference of a Finite Mixture of Inverse Weibull Distributions with an Application to Doubly Censoring Data
... of mixture distributions have a wider range of applications in different fields such as fisheries, agriculture, botany, economics, medicine, psychology, electrophoresis, finance, communication theory, geology and ...
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Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach
... structural model, the variables identified in the ex post analysis do not offer much potential for meaningful a priori segmentation, except for the I like to buy fashion designers' perfumes ...
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