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Random forest
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211	Index K -means algorithm, 238, 265 ANOVA, see analysis of variance Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2012-04-23 06:41:58 Cluster analysis Multivariate statistics Data analysis K-means clustering Calibration Random forest Linear classifier Expectation–maximization algorithm K-nearest neighbor algorithm Statistics Machine learning Statistical classification
212	(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non- Add to Reading List Source URL: www.umass.edu Language: English - Date: 2013-02-01 10:42:31 Regression analysis Non-parametric statistics Random forest Topography Remote sensing Resampling Stepwise regression Satellite imagery Linear discriminant analysis Statistics Cartography Statistical inference
213	perClass 4.5 cheat-sheet Subsets! Detection! Add to Reading List Source URL: perclass.com Language: English - Date: 2015-03-17 10:16:32 Receiver operating characteristic Naive Bayes classifier Support vector machine Random forest Confusion matrix Cross-validation Classifier Linear discriminant analysis Statistics Statistical classification Machine learning
214	Where Is This Tweet From? Inferring Home Locations of Twitter Users Add to Reading List Source URL: www.jeffreynichols.com Language: English - Date: 2014-04-05 12:47:08 Ensemble learning Real-time web Social media Text messaging Twitter Classifier Naive Bayes classifier Random forest Support vector machine Machine learning Statistics Statistical classification
215	EMBARGOED until July 17th 2014: 7 am EDT; 12 midday UK time Your Peers, Your Science Academic Publishing is Evolving Birdsongs automatically decoded by computer scientists Scientists from Queen Mary University of London Add to Reading List Source URL: d2pdyyx74uypu5.cloudfront.net Language: English - Date: 2014-07-14 12:08:00 Ensemble learning Random forest Statistical classification Bird vocalization Machine learning Artificial intelligence Computational statistics
216	Random Forests for the Social Sciences Zachary Jones and Fridolin Linder∗ Abstract Machine learning techniques gain in popularity in many disciplines and increased computational power allows for easy implementation of Add to Reading List Source URL: zmjones.com Language: English - Date: 2015-04-12 13:23:45 Decision tree learning Resampling Least squares Ordinary least squares Variance Degrees of freedom Random variable Bootstrapping Errors and residuals in statistics Statistics Regression analysis Random forest
217	Online Appendix for An Empirical Evaluation of Explanations for State Repression∗ Daniel W. Hill, Jr.† and Zachary M. Jones‡ Stability of Random Forest Results The random forest algorithm used has two main tuning p Add to Reading List Source URL: zmjones.com Language: English - Date: 2015-04-02 22:01:06 Econometrics Statistical inference Regression analysis Random variable Bootstrapping Random forest Missing data Imputation Variance Statistics Data analysis Probability theory
218	Subpixel Urban Land Cover Estimation: Comparing Cubist, Random Forests, and Support Vector Regression Add to Reading List Source URL: www.nrs.fs.fed.us Language: English - Date: 2009-02-06 10:08:54 Remote sensing GIS software Decision trees Ensemble learning Impervious surface Land cover Random forest Remote sensing application ERDAS IMAGINE Machine learning Statistics Earth
219	FACULTEIT ECONOMIE EN BEDRIJFSKUNDE TWEEKERKENSTRAAT 2 B-9000 GENT Tel. Fax. Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2012-09-09 17:15:49 Econometrics Statistical models Customer attrition Data mining Logistic regression Churn Random forest Markov model Dummy variable Statistics Regression analysis Business intelligence
220	An evaluation of different data mining methods for forecasting wind farm power P767 Gerry Wiener, J. M. Pearson, B. Lambi, W. Myers and K. Goodrich National Center for Atmospheric Research, Boulder, CO Add to Reading List Source URL: ams.confex.com Language: English - Date: 2011-02-22 19:30:07 Wind power Regression analysis Mesoscale meteorology Wind Wind power forecasting Linear regression K-nearest neighbor algorithm Forecasting Random forest Statistics Machine learning Econometrics

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