An introduction to Majorization‐Minimization algorithms for machine learning and statistical estimation

MM (majorization–minimization) algorithms are an increasingly popular tool for solving optimization problems in machine learning and statistical estimation. This article introduces the MM algorithm framework in general and via three commonly considered example applications: Gaussian mixture regressi...

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Veröffentlicht in:	Wiley interdisciplinary reviews. Data mining and knowledge discovery Jg. 7; H. 2; S. np - n/a
1. Verfasser:	Nguyen, Hien D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA Wiley Periodicals, Inc 01.03.2017 Wiley Subscription Services, Inc
Schlagworte:	Algorithms Artificial intelligence Data mining Logistics Machine learning Mathematical analysis Mathematical programming Optimization Regression analysis Series (mathematics) Support vector machines Wire
ISSN:	1942-4787, 1942-4795
Online-Zugang:	Volltext
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