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Mixture models for baseline estimation

โœ Scribed by Johan J. de Rooi; Paul H.C. Eilers


Book ID
118428930
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
900 KB
Volume
117
Category
Article
ISSN
0169-7439

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Model parameter estimation for mixture d
โœ T. Fukada; K.K. Paliwal; Y. Sagisaka ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 318 KB

In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regression order. MDPSM parameters can be trained in one of three different ways: (1) segment clustering; (2) expectation maximiza