Aleksandr Aravkin, Anna Choromanska, Li Deng, Georg Heigold, Tony Jebara, Dimitri Kanevsky, Stephen J. Wright
Sari: Neural Information Processing series
(Ilmumisaeg: 30-Nov-2018, PDF+DRM, Kirjastus: MIT Press Ltd, ISBN-13: 9780262351607)
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and machine learning applications. From simple binary...Loe edasi...
Analysis of Qualitative Data: Volume 1, Introductory Topics introduces log-linear models oriented toward the social scientist, including assessments of the variability of parameter estimates using algebraic equations and summation notation. The book...Loe edasi...
(Ilmumisaeg: 01-Feb-2013, PDF+DRM, Kirjastus: Taylor & Francis Inc, ISBN-13: 9781134774623)
Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate. Like analysis of variance and multiple regression for quantitative data, log-linear analysis lets users ask which main...Loe edasi...
(Ilmumisaeg: 01-Feb-2013, EPUB+DRM, Kirjastus: Taylor & Francis Inc, ISBN-13: 9781134774692)
Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate. Like analysis of variance and multiple regression for quantitative data, log-linear analysis lets users ask which main...Loe edasi...
This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categoric...Loe edasi...
This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categoric...Loe edasi...
