Sentence examples for mixture models with from inspiring English sources

While recent years have witnessed substantial progress in proving "exponential convergence" rate of EM for correctly specified Gaussian mixture models with well-separated mixing components, the be- havior of EM algorithm under misspecified models is not well understood.

The proposed method offers an accurate and stable solution for parameter estimation on Gaussian mixture models, with higher likelihood of achieving global optimal minima.

We show that the use of statistical finite mixture models with groups of original pixel-scale measurements, at successive spatial scales, offers improved pixel-wise classification accuracy as compared to the commonly used technique of label aggregation.

Mixture models with R2 in the range of 0.881 0.998 (P < 0.01) were established for specific mechanical energy (SME), feed melt viscosity and temperature behind die, expansion parameters, and pellet hardness and durability.

A framework of using t mixture models with fourteen eigen-decomposed covariance structures for the unsupervised learning of heterogeneous multivariate data with possible missing values is designed and implemented.

Latent class growth mixture models with a censored normal distribution were used to estimate income trajectories followed by the respondent families from 1968 to 1997, while repeated measures multinomial generalized logit models estimated the odds of abstinence (no drinks per day) or heavy drinking (at least 3 drinks a day), relative to light/moderate drinking (<1 2 drinks a day), in 1999 2003.

The model is basically the same as the CRP mixture model with a slight modification.

A common way to model data in learning applications is to view it as arising from a "mixture model" with a small number of parameters.

We present a method, CRISPhieRmix, that resolves these issues by using a hierarchical mixture model with a broad-tailed null distribution.

Sobel, M. E. and Muthen, B., (2012), "Compliance Mixture Modelling with a Zero Effect Complier Class and Missing Data," Biometrics, 68 1037-1045.

Multiphase mixture model with LES turbulence model is employed to study oxygen dissolution in three-dimensional geometries.