Sentence examples for mixture model and from inspiring English sources

This paper examines this problem in details in a finite mixture model and provides possible fixes based on the parametric bootstrap.

This paper aims to address these questions using a statistic concept called mixture model and the Bayes' theorem.

Machine learning methods including Dirichlet process mixture model and maximum likelihood estimation are employed for uncertainty modeling.

The approach provides a Gauss mixture model and an associated Gauss mixture vector quantizer which is locally robust.

The Lincoln-developed Gaussian Mixture Model and Universal Background Model approach to speaker recognition has become the de facto standard for automatic text-independent speaker-recognition research and applications.

The paper discusses the advantages and restrictions of the proposed mixture model and addresses its application and full-scale numerical implementation.

Our methods were experimentally verified to be reliable and more effective in performance than the Linear Mixture Model and scene classification techniques.

The new scheme addresses the quality-related fault detection issue with a developed robust Gaussian mixture model and modified Mahalanobis distance.

A CP framework is transferred into a mixture model and then a FCML-CP algorithm is created through fuzzy classification maximum likelihood procedures.

These applications include k-means clustering, fuzzy c-means clustering, parameter estimation for the Gaussian Mixture Model, and variational inference for Latent Dirichlet Allocation.

The Bayesian model is designed based on event type and time with inference method based on Gaussian mixture model and EM algorithm.