Expectation Maximization

Viral population estimation using pyrosequencing

Algorithms / Immune response / HIV / Biological Sciences / Population structure / Sequence alignment / Mathematical Sciences / Drug Resistance / EM algorithm / Cost effectiveness / Disease Control / Error Correction / Evolutionary Dynamics / Expectation Maximization / Drug Therapy / Genetic variation / Statistical Model / Base Sequence / Computational Method / Statistical Approach / Molecular Sequence Data / Sequence alignment / Mathematical Sciences / Drug Resistance / EM algorithm / Cost effectiveness / Disease Control / Error Correction / Evolutionary Dynamics / Expectation Maximization / Drug Therapy / Genetic variation / Statistical Model / Base Sequence / Computational Method / Statistical Approach / Molecular Sequence Data

Local color transfer via probabilistic segmentation by expectation-maximization

Probability Distribution & Applications / Computer Vision and Pattern Recognition / Expectation Maximization / Gaussian Mixture Model / Image Deblurring / Natural Images

Robust Bayesian Linear Classifier Ensembles

Computational Complexity / Classifier Combination / Expectation Maximization / Bayesian Model Averaging / Classifier Ensemble

A general spatio-temporal model for environmental data

Remote Sensing / Climate Change / Kalman Filter / EM algorithm / Expectation Maximization / Bayesian hierarchical model / OPTIMIZATION TECHNIQUE / Large classes / Standard Error / Newton-Raphson algorithm / Statistical Model / Risk Map / Likelihood Function / Bayesian hierarchical model / OPTIMIZATION TECHNIQUE / Large classes / Standard Error / Newton-Raphson algorithm / Statistical Model / Risk Map / Likelihood Function

Promodes: A probabilistic generative model for word decomposition

Parameter estimation / Maximum Likelihood / Probabilistic Model Checking / Expectation Maximization / Hidden Variables

Promodes: A probabilistic generative model for word decomposition

Parameter estimation / Maximum Likelihood / Probabilistic Model Checking / Expectation Maximization / Hidden Variables

An experimental comparison of model-based clustering methods

Cognitive Science / Machine Learning / Clustering / EM algorithm / Learning Model / Expectation Maximization / Naive Bayes / Mixture Model / High Dimensionality / K means algorithm / Agglomerative Clustering / random Perturbation / Machine Learning (ML) / Expectation Maximization / Naive Bayes / Mixture Model / High Dimensionality / K means algorithm / Agglomerative Clustering / random Perturbation / Machine Learning (ML)

A Source Localization/Separation/Respatialization System Based on Unsupervised Classification of Interaural Cues

Time-Frequency Analysis / Auditory Scene Analysis / Source Localization / Expectation Maximization / Gaussian Mixture Model / Frequency Domain / Unsupervised Classification / Direction of arrival / Research Framework / Frequency Domain / Unsupervised Classification / Direction of arrival / Research Framework

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