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Logistic regression
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#	Item
671	Journal of Machine Learning Research[removed]2113 Submitted 2/10; Revised 4/10; Published 8/10 Model-based Boosting 2.0 Torsten Hothorn Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-18 16:38:50 Additive model Boosting Least squares Quantile regression Gradient boosting Statistics Regression analysis Logistic regression
672	FAQ ® ►Q1. What is MARS? Multivariate Adaptive Regression Splines was developed in the early 1990s by world-renowned Stanford physicist and statistician Jerome Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:01 Decision trees Statistical models Econometrics Decision tree learning Multivariate adaptive regression splines Predictive Model Markup Language Random forest Data mining Logistic regression Statistics Regression analysis Machine learning
673	Journal of Machine Learning Research[removed]1874 Submitted 5/08; Published 8/08 LIBLINEAR: A Library for Large Linear Classification Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2008-08-28 16:04:54 Regression analysis Learning Logistic regression Machine learning Statistics Statistical classification Support vector machine
674	Competitive Analysis Using a Flexible Demand Specification Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:07:59 Elasticity Statistical models Microeconomics Discrete choice Cross elasticity of demand Price elasticity of demand Choice modelling Logistic regression Industrial organization Economics Consumer theory Demand
675	Consumer Choice Prediction: Artificial Neural Networks versus Logistic Model Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:03:04 Computational statistics Regression analysis Statistical models Logistic regression Artificial neural network Logistic function Discrete choice Linear discriminant analysis Consumer behaviour Statistics Computational neuroscience Neural networks
676	YI ZHAO, YING ZHAO, and INSEONG SONG* Recent studies in marketing have consistently shown that all customers are not equally profitable. In the credit card business, all customers are not equally risky. When a customer m Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2012-04-05 01:25:56 Credit bureau Credit history Merchant account Market segmentation Logistic regression Credit risk Financial economics Credit Credit card
677	Bayesian Analysis[removed], Number 2, pp. 353–356 Bayesian Estimation of the Multinomial Logit Model: A Comment on Holmes and Held, Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-05-21 05:19:52 Actuarial science Multinomial logit Logistic regression Variational Bayesian methods Statistics Regression analysis Econometrics
678	Restaurant customers around the globe often leave parting gifts of money (or tips) for the waiters and waitresses who ser... Add to Reading List Source URL: tippingresearch.com Language: English - Date: 2010-07-11 16:06:04 Estimation theory Parametric statistics Socioeconomics Tip Linear regression Waiting staff Instrumental variable Logistic regression Ordinary least squares Statistics Regression analysis Econometrics
679	FED ERAL RESERVE BANK O F ST. LO UI S Forecasting Recessions: Can We Do Better on M ARS(TM )? Peter Sephton Add to Reading List Source URL: docs.salford-systems.com Language: English - Date: 2012-06-18 01:42:23 Data analysis Parametric statistics Estimation theory Probit Nonparametric regression Linear regression Multivariate adaptive regression splines Logistic regression Forecasting Statistics Regression analysis Econometrics
680	Cheshire II at INEX: Using A Hybrid Logistic Regression and Boolean Model for XML Retrieval Ray R. Larson School of Information Management and Systems University of California, Berkeley Berkeley, California, USA, [removed] Add to Reading List Source URL: cheshire.berkeley.edu Language: English - Date: 2003-03-10 09:58:28 Document retrieval Z39.50 Search engine indexing Search engine Full text search IR evaluation Precision and recall Concept Search Contextual Query Language Information science Information retrieval XML-Retrieval

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