Sentence examples for mixture model based from inspiring English sources

To account for these issues, we proposed a two-stage mixture modeling strategy, the strength of which was built on the mixture model based transformation and the subsequent data integration on the poe scale.

Medvedovic, M. & Sivaganesan, S. Bayesian infinite mixture model based clustering of gene expression profiles.

The Sequential GMM: A Gaussian Mixture Model Based Speaker Verification System that Captures Sequential Information.

Yu, J. Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach.

For this purpose, two phase transient 3D CFD simulations using mixture model (based on Euler Euler approach) have been performed.

This model is a specific mixture model based on a fracture mechanic approach, and does not require microstructure information.

For the analysis of the effect of the annual rings structure on the properties of softwood, an improved rule-of-mixture model, based on 3D orthotropic stress strain relations and taking into account the compatibility of deformations at the interface of two phases and equilibrium of tractions at phase boundaries, is proposed.

To this end, statistical approaches using mixture-model based clustering combined with either Akaike information criterion (AIC) or the Bayesian informatics criterion (BIC) have frequently been applied [ 6- 9].

To meet these challenges, we propose a soft mixture-model based framework "SWIFT" (Scalable Weighted Iterative Flow-clustering Technique), which scales to large FC datasets while preserving the capability of identifying small clusters representing rare subpopulations.

This bias is tolerable for the present application, so for simplicity we use Q1 (Additional file 2: Table S1) as a summary statistic uniformly for all samples, without requiring the genotype to be known; we have also developed a mixture-model based statistical approach that aims to mitigate this bias [unpublished observations by Jones et al. 2014].

Ghosh and Chinnaiyan [ 2] proposed a mixture model-based approach to classify genes based on the expression of independent samples corresponding to melanoma or prostate cancer diagnoses using a finite mixture of multivariate Normal distributions.