Further advances on Bayesian Ying-Yang harmony learning

After a short tutorial on the fundamentals of Bayes approaches and Bayesian Ying-Yang (BYY) harmony learning, this paper introduces new progresses. A generic information harmonising dynamics of BYY harmony learning is proposed with the help of a Lagrange variety preservation principle, which provide...

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Veröffentlicht in:	Applied informatics Jg. 2; H. 1; S. 1 - 45
1. Verfasser:	Xu, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 13.06.2015 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Bayesian analysis Bioinformatics Computer Applications Computer Imaging Computer Science Factor analysis Health Informatics Health Sciences Machine learning Manifolds (mathematics) Mathematical analysis Matrix methods Medicine Pattern Recognition and Graphics Problem solving Regression analysis Search algorithms Statistics for Life Sciences Vision nonGaussian factors Factor analysis Binary factors Lagrange Multivariate regression Ying-Yang alternation Bilinear matrix system Local factors Linear mixed model Automatic model selection Temporal factors De-noised Gaussian mixture Variety preservation
ISSN:	2196-0089, 2196-0089
Online-Zugang:	Volltext
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