A non-parametric Bayesian model for bounded data

DOI10.1016/j.patcog.2014.12.019zbMath1374.68413OpenAlexW1981573976MaRDI QIDQ1678706

Thanh Minh Nguyen, Q. M. Jonathan Wu

Publication date: 20 November 2017

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.12.019

zbMATH Keywords

beta distributionnon-parametricvariational Bayesian learningbounded data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A Bayesian nonparametric model for multi-label learning

Uses Software

• PRMLT

Cites Work

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• A robust EM clustering algorithm for Gaussian mixture models
• The infinite Student's \(t\)-factor mixture analyzer for robust clustering and classification
• Maximum likelihood estimation for the beta distribution
• Wavelet Modeling Using Finite Mixtures of Generalized Gaussian Distributions: Application to Texture Discrimination and Retrieval

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