Sentence examples for mixture models like from inspiring English sources

The other class of models are mixture models, like BayesB or BayesC, which assume that a large proportion of haplotypes have zero effect, while a small proportion have non-zero effects.

Such connectivity profiles can be detected based on mixture models using software like MixNet [ 63].

Comparison of achieved recognition accuracy with popular modeling techniques in speaker recognition like Gaussian mixture models and vector quantization is made.

Achieved verification results are compared wit h the ones ohtained for the most popular in speaker recognition area techniques like Gaussian Mixture Models and vcctor quantization.

Algorithms like Gaussian Mixture Models (GMM) can be categorized under these approaches.

Methods like Gaussian mixture models and auto-associative neural networks have been used for nonlinear problems.

Estimating mixture models via mixture of polynomials.

Using Mixture Models for Collaborative Filtering.

Finite mixture models, Dirichlet process mixture models, and Pitman--Yor process mixture models make this assumption, as do all other infinitely exchangeable clustering models.

A permutation-augmented sampler for Dirichlet process mixture models.

So let's start with mixture models and clustering.