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Multivariate adaptive regression splines
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#	Item
91	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
92	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
93	Molecular Data Mining Tool: Advances In HIV Research he ability to predict biological activity based on molecular structure is leading researchers to breakthroughs in the most complex challenges of medicine. Using a Add to Reading List Source URL: docs.salford-systems.com Language: English - Date: 2012-06-18 01:08:18 Econometrics Science Computational statistics Neural networks Artificial neural network Decision tree learning Multivariate adaptive regression splines Data mining Regression analysis Statistics Computational neuroscience Machine learning
94	Martian Chronicles: Is MARS better than Neural Networks? by Louise Francis, FCAS, MAAA Abstract: A recently developed data mining technique, Multivariate Adaptive Regression Splines (MARS) has been hailed by some as a vi Add to Reading List Source URL: docs.salford-systems.com Language: English - Date: 2012-06-18 03:03:22 Polynomial regression Linear regression Multivariate adaptive regression splines Nonlinear regression Neural network Dummy variable Scatter plot Curve fitting Stepwise regression Statistics Regression analysis Econometrics
95	Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach Add to Reading List Source URL: www.sel.uaf.edu Language: English - Date: 2010-04-28 21:03:40 Ecological succession Occupational safety and health Computational science Global warming Wildfires Wildfire Global climate model Special Report on Emissions Scenarios Vegetation Climatology Atmospheric sciences Climate change
96	Molecular Data Mining Tool: Advances In HIV Research he ability to predict biological activity based on molecular structure is leading researchers to breakthroughs in the most complex challenges of medicine. Using a Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:42:03 Econometrics Science Computational statistics Neural networks Artificial neural network Decision tree learning Multivariate adaptive regression splines Data mining Regression analysis Statistics Computational neuroscience Machine learning
97	Training Course Title Date □ Add to Reading List Source URL: cdn2.hubspot.net Language: English - Date: 2015-01-20 14:30:05 Linear regression Regression Boosting Gradient boosting Elastic net regularization Nonlinear regression Logistic regression Decision tree learning Statistics Regression analysis Multivariate adaptive regression splines
98	SPM Users Guide Introducing MARS This guide provides a brief introduction to MARS. Introducing MARS 2 Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:01 Linear regression Predictive Model Markup Language Logistic regression Dummy variable Stepwise regression Data analysis Feature selection Ordinary least squares Predictive analytics Statistics Regression analysis Multivariate adaptive regression splines
99	Journal of Vegetation Science 15: [removed], 2004 © IAVS; Opulus Press Uppsala. - Comparison of statistical methods commonly used in predictive modelling[removed] Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:39 Multivariate adaptive regression splines Linear regression Multicollinearity Decision tree learning Additive model Regression model validation Logistic regression Predictive modelling Predictive analytics Statistics Regression analysis Nonparametric regression
100	ENTOOL - A Matlab Toolbox for Regression, Classification and Active Learning C. Merkwirth1 J.D. Wichard2 M. Ogorzałek1 [removed] [removed] Add to Reading List Source URL: zti.if.uj.edu.pl Language: English - Date: 2006-04-24 09:36:01 Econometrics Loss function Regularization Support vector machine Generalization error Multivariate adaptive regression splines Linear regression Akaike information criterion Overfitting Statistics Machine learning Regression analysis

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