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Multinomial
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41	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Statistics Regression analysis Logistic regression Linear regression Logistic function Statistical classification Comparison of general and generalized linear models Multinomial logistic regression
42	Start: Haugesund, Rogaland, Norway End: Trondheim, Sør-Trøndelag, Norway Total Distance: Miles Estimated Total Time: 47 hours, 31 minutes Source: http://www.mappoint.msn.com (Jan 31, 2005) Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:41:35 Statistical models Choice modelling Single-equation methods Regression analysis Discrete choice Mixed logit Multinomial logistic regression Shortest path problem Logit Probit Logistic regression Pairwise comparison
43	The Dirichlet-Multinomial and Dirichlet-Categorical models for Bayesian inference Stephen Tu 1 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-08-29 05:08:55
44	Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2012-09-27 10:17:05 Machine learning Computational linguistics Vectors Statistical classification Probability distributions N-gram Speech recognition Multinomial distribution Mixture model Language model Support vector machine Euclidean vector
45	INTERSPEECHRegularized Subspace n-Gram Model for Phonotactic iVector Extraction ˇ Mehdi Soufifar 1,2 , Luk´asˇ Burget1 , Oldˇrich Plchot1, Sandro Cumani1,3 , Jan “Honza” Cernock´ y1 Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2013-09-18 07:53:35 Statistics Estimation theory Probability Regression analysis Probability distributions N-gram Expectationmaximization algorithm Multinomial distribution Maximum likelihood estimation Parameter Logistic regression
46	Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures ∗ ‡ ‡ ‡ Add to Reading List Source URL: www.dbs.informatik.uni-muenchen.de Language: English
47	A comparative analysis of implicit and explicit methods to model choice set generation Michel Bierlaire Ricardo Hurtubia Gunnar Flötteröd Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-09-16 13:42:09 Statistics Regression analysis Statistical models Choice modelling Discrete choice Multinomial logistic regression Logistic regression Expected utility hypothesis Logit Decision-making Mixed logit Mode choice
48	line Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-12-12 11:33:17 Statistics Mathematical analysis Mathematics Operations research Regression analysis Statistical models Estimation theory Mathematical optimization Multinomial logistic regression Discrete choice Maximum likelihood estimation Linear programming
49	Image Retrieval with Multinomial Relevance Feedback Dorota Glowacka and John Shawe-Taylor Department of Computer Science, University College London Gower Street, London WC1E 6BT, UK , Add to Reading List Source URL: snowbird.djvuzone.org Language: English - Date: 2012-02-14 07:55:38
50	Photo or figure (optional) Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-28 01:55:05 Regression analysis Statistics Choice modelling Statistical models Discrete choice Economics Multinomial logistic regression Logistic regression Sampling NLOGIT Choice model simulation

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