Amanote Research

Amanote Research

    RegisterSign In

Model Based Labeling for Mixture Models

Statistics and Computing - Netherlands
doi 10.1007/s11222-010-9226-8
Full Text
Open PDF
Abstract

Available in full text

Categories
StatisticsProbabilityUncertaintyMathematicsComputational TheoryTheoretical Computer Science
Date

January 19, 2011

Authors
Weixin Yao
Publisher

Springer Science and Business Media LLC


Related search

Efficient Classification-Based Relabeling in Mixture Models

American Statistician
MathematicsStatisticsUncertaintyProbability
2011English

Serial and Parallel Implementations of Model-Based Clustering via Parsimonious Gaussian Mixture Models

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2010English

Mixture Models for Image Analysis

2019English

Optimal Designs for Linear Mixture Models

Statistica Neerlandica
UncertaintyStatisticsProbability
1975English

Variational Learning for Gaussian Mixture Models

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
2006English

Labeling Ecological Niche Models

Natureza & Conservação
2012English

Finite Mixture Models for Regression Problems

English

Augmented Mixture Models for Lexical Disambiguation

2002English

Gaussian Mixture Models for Probabilistic Localization

2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy