"Learning with Mixture Models: Concepts and Applications"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Mixture Models and Applications	Nizar Bouguila; Wentao Fan	1st ed. 2020	Springer International Publishing
Mixture models: theory,geometry,and applications	Bruce G. Lindsay	1995	Institute of Mathematical Statistics;American Statistical Association
Medical Applications of Finite Mixture Models	Peter Schlattmann	2009	Springer Berlin Heidelberg
Multivariate and Mixture Distribution Rasch Models: Extensions and Applications	Matthias Davier; Claus H. Carstensen	2007	Springer New York
Mixture and Hidden Markov Models with R	Ingmar Visser; Maarten Speekenbrink	1st ed. 2022	Springer International Publishing
Vascular Biomechanics: Concepts, Models, and Applications	T. Christian Gasser	1st ed. 2021	Springer International Publishing
Motor learning: concepts and applications	Richard A. Magill	1989	W.C. Brown
Motor learning: concepts and applications	Richard A. Magill	2001	McGraw-Hill
Motor learning: concepts and applications	Richard A. Magill	1998	McGraw-Hill
Motor learning: concepts and applications	Richard A. Magill	1985	W. C. Brown
Learning Curves: Theory, Models, and Applications	Mohamad Y. Jaber	2011	Routledge
Finite Mixture and Markov Switching Models	Sylvia Frühwirth-Schnatter	2006	Springer New York
Intelligent Open Learning Systems: Concepts, Models and Algorithms	Przemysław Różewski; Emma Kusztina; Ryszard Tadeusiewicz; Oleg Zaikin	2011	Springer Berlin Heidelberg
Finite Mixture Models (Online Version)	Geoffrey McLachlan	2000	John Wiley & Sons
Motor learning concepts and applications 6th ed.		2001	McGraw-Hill
With service in mind: concepts and models for service-learning in psychology	Robert G. Bringle; Donna Killian Duffy	2006	Stylus;American Psychological Association
Learning by doing: concepts and models for service-learning in accounting	Dasaratha V. Rama; Edward A. Zlotkowski	2007	Stylus
Learning by doing: concepts and models for service-learning in accounting	Dasaratha V. Rama; Edward A. Zlotkowski	1998	American Association for Higher Education;published in cooperation with KPMG Peat Marwick Foundation
Culture, Mind, and Brain: Emerging Concepts, Models, and Applications	Laurence J. Kirmayer; Carol M. Worthman; Shinobu Kitayama; Robert Lemelson; Constance A. Cummings	2020-09	Cambridge University Press
Regression Analysis and Linear Models: Concepts, Applications, and Implementation	Darlington, Richard B.; Hayes, Andrew F.; Little, Todd D	2017	Guilford Publications;The Guilford Press
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning with Mixture Models: Concepts and Applications	Padhraic Smyth	Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings	Tapio Elomaa; Heikki Mannila; Hannu Toivonen	2002	Springer Berlin Heidelberg
Learning with Mixture Models: Concepts and Applications	Padhraic Smyth	Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings	Tapio Elomaa; Heikki Mannila; Hannu Toivonen	2002	Springer Berlin Heidelberg
Learning with Mixture Models: Concepts and Applicatio		Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings	Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura, Setsuo Arikawa (auth.), Tapio Elomaa, Heikki Mannila, Hannu Toivonen (eds.)	2002	Springer-Verlag Berlin Heidelberg
Active Learning with Mixture Models	David A. Cohn; Zoubin Ghahramani; Michael I. Jordan	Multiple Model Approaches to Modelling and Control	R Murray-Smith; T. Johansen	1997	Routledge
Applications to Mixture Models		A Weak Existence Result with Application to the Financial Engineer's Calibration Problem	Gerard Brunick	2008
Mixture and Latent Class Models: Applications	Ingmar Visser; Maarten Speekenbrink	Mixture and Hidden Markov Models with R	Ingmar Visser; Maarten Speekenbrink	1st ed. 2022	Springer International Publishing
Applications of mixture IRT models		Handbook of Statistics 26: Psychometrics	C.R. Rao, Sandip Sinharay	2006	North Holland
Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications	Parisa Tirdad; Nizar Bouguila; Djemel Ziou	Artificial Intelligence Applications in Information and Communication Technologies	Yacine Laalaoui; Nizar Bouguila	2015	Springer International Publishing
2. Learning Concepts and Models		Behavior modification in education	Donald L. MacMillan	1973	Macmillan
Neural Units: Concepts, Models, and Learning		Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory	Madan M. Gupta; Liang Jin; Noriyasu Homma	2003	Wiley-IEEE Press
Mixture models	Johann Pfanzagl	Estimation in Semiparametric Models: Some Recent Developments	Johann Pfanzagl	1990	Springer New York
Mixture Models	Wilfried Seidel	International Encyclopedia of Statistical Science	Miodrag Lovric	2011	Springer Berlin Heidelberg
Mixture Models	Jeroen K. Vermunt; Leo J. Paas	Advanced Methods for Modeling Markets	Peter S. H. Leeflang; Jaap E. Wieringa; Tammo H.A Bijmolt; Koen H. Pauwels	1st ed. 2017	Springer International Publishing
Mixture Models	Bruce G. Lindsay; Michael Stewart	Microeconometrics	Steven Durlauf; L. Blume	1st ed. 2009	Palgrave Macmillan UK
Mixture Models	Christopher P.Adams	Learning Microeconometrics with R	Christopher P. Adams	2020	Routledge
Mixture Models	Mevin B. Hooten; Trevor J. Hefley	Bringing Bayesian Models to Life	Mevin B. Hooten; Trevor J. Hefley	2019	Routledge
Mixture models	Virgilio Gómez-Rubio	Bayesian Inference with INLA	Virgilio Gomez-Rubio	2020	Routledge
Mixture Models	Steffen Fieuws; Bart Spiessens; Karen Draney	Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach	Paul Boeck; Mark Wilson	2004	Springer New York
Mixture Models		Concentration Risk in Credit Portfolios	Eva Lütkebohmert	2009	Springer Berlin Heidelberg
Mixture Models	Michel Wedel; Wagner A. Kamakura	Market Segmentation: Conceptual and Methodological Foundations	Michel Wedel; Wagner A. Kamakura	2nd ed. 2000	Springer US
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Learning with Mixture Models: Concepts and Applications" - similar Books and Chapters