Multivariate adaptive regression splines

Results: 124



#Item
101Linear regression / Cross-validation / Secure multi-party computation / Stepwise regression / Nonparametric regression / Predictive analytics / Statistics / Regression analysis / Multivariate adaptive regression splines

NISS Secure computation with horizontally partitioned data using adaptive regressive splines Joyee Ghosh, Jerome P. Reiter, and Alan F. Karr

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Source URL: www.niss.org

Language: English - Date: 2006-06-23 13:47:34
102Plot / Spreadsheet / Data / SQL / Data set / Multivariate adaptive regression splines / Statistics / Computing / Charts

Data handling in R: Exercise 2 Research Data MANTRA Data handling in R: Exercise 2 Version 4: April 2014

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Source URL: datalib.edina.ac.uk

Language: English - Date: 2014-08-15 10:33:43
103Econometrics / Data analysis / Model selection / Multivariate adaptive regression splines / Training set / K-nearest neighbor algorithm / Logistic regression / Linear regression / Support vector machine / Statistics / Machine learning / Regression analysis

Package ‘rminer’ November 7, 2014 Type Package Title Data Mining Classification and Regression Methods Version 1.4 Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-11-07 08:06:12
104Decision trees / Ensemble learning / Econometrics / Multivariate adaptive regression splines / Random forest / Decision tree learning / Bootstrap aggregating / Resampling / Statistical model / Statistics / Regression analysis / Machine learning

Ecosystems[removed]: 181–199 DOI: [removed]s10021[removed]Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological

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Source URL: www.fs.fed.us

Language: English - Date: 2013-03-29 12:24:58
105Additive model / Logistic regression / Quantile regression / Least squares / Gradient boosting / Multivariate adaptive regression splines / Statistics / Regression analysis / Boosting

Model-based Boosting 2.0 Model-based Boosting 2.0 Torsten Hothorn LMU M¨unchen [removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-10-02 11:30:58
106Multivariate adaptive regression splines / Statistical models / Mars / Cross-validation / Generalized linear model / Astronomy on Mars / Pruning / Economic model / Statistics / Regression analysis / Machine learning

Notes on the earth package Stephen Milborrow January 28, 2014 Contents 1 Introduction

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 11:42:00
107Econometrics / Estimation theory / Parametric statistics / Linear regression / Ordinary least squares / Cross-validation / Statistical power / Statistical classification / Multivariate adaptive regression splines / Statistics / Regression analysis / Machine learning

Package ‘bartMachine’ September 5, 2014 Type Package Title Bayesian Additive Regression Trees Version[removed]Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-09-05 16:15:52
108R / Logistic regression / Nintendo DS / Spline / Statistics / Regression analysis / Multivariate adaptive regression splines

Data Science with R Multivariate Adaptive Regression Splines [removed] 3rd August 2014 Visit http://HandsOnDataScience.com/ for more Chapters.

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Source URL: handsondatascience.com

Language: English - Date: 2014-08-03 03:34:33
109Software / R / Bioconductor / Partial least squares regression / Multivariate adaptive regression splines / Data analysis / Robust regression / Statistics / Science / Regression analysis

Journal of Statistical Software JSS April 2011, Volume 40, Book Review 1.

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Source URL: dirk.eddelbuettel.com

Language: English - Date: 2011-04-03 13:21:30
110Econometrics / Computational statistics / Neural networks / Multivariate adaptive regression splines / Group method of data handling / Data mining / Overfitting / Linear regression / Mathematical model / Statistics / Regression analysis / Machine learning

The Generalization Paradox of Ensembles John F. ELDER IV Ensemble models—built by methods such as bagging, boosting, and Bayesian model averaging—appear dauntingly complex, yet tend to strongly outperform their compo

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Source URL: datamininglab.com

Language: English
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