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Random forest
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#	Item
331	Submitted to the Annals of Applied Statistics VISUALIZING STATISTICAL MODELS: REMOVING THE BLINDFOLD By Hadley Wickham, Dianne Cook and Heike Hofmann Rice University Iowa State University Add to Reading List Source URL: had.co.nz Language: English - Date: 2011-01-14 13:33:43 Statistical methods Regression analysis Collective intelligence Mathematical model Statistical model Spatial analysis Hierarchical clustering Random forest Scatter plot Statistics Econometrics Geostatistics
332	Package ‘obliqueRF’ July 2, 2014 Title Oblique Random Forests from Recursive Linear Model Splits Version 0.3 Date[removed]Depends R (>= 2.0.0), stats, ROCR, pls, mda, e1071 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 15:54:07 Logistic regression Linear regression Degrees of freedom Statistical classification Random forest Partial least squares regression Matrix Statistics Regression analysis Econometrics
333	bootfs - Bootstrapped feature selection Christian Bender ∗ September 8, 2013 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:23:14 Model selection Support vector machine Receiver operating characteristic Random forest Statistical hypothesis testing Feature selection Cross-validation Iris Statistics Machine learning Statistical classification
334	Package ‘rattle’ September 7, 2014 Type Package Title Graphical user interface for data mining in R Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-07 03:20:34 Audit Artificial intelligence Computing Learning Binning Random forest Predictive Model Markup Language
335	Introduction Boosting Random Forests Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 AdaBoost Random forest BrownBoost LogitBoost Overfitting Statistical classification Machine learning Ensemble learning Boosting
336	Big Data: New Tricks for Econometrics Hal R. Varian∗ June 2013 Revised: April 14, 2014 Abstract Add to Reading List Source URL: people.ischool.berkeley.edu Language: English - Date: 2014-04-14 14:56:01 Ensemble learning Regression analysis Data analysis Data mining Random forest Logistic regression Decision tree learning Data set Nonparametric regression Statistics Machine learning Decision trees
337	1975 Winner Ruth Prawer Jhabvala Heat and Dust John Murray Shortlisted author Thomas Keneally Gossip from the Forest Collins Add to Reading List Source URL: www.themanbookerprize.com Language: English - Date: 2012-06-26 11:14:52 Random House Knights Bachelor Margaret Forster Jonathan Cape Man Booker Prize Tim Parks Carmen Callil Jeremy Treglown Vintage Books British literature British people Literature
338	A Method of Automated Nonparametric Content Analysis for Social Science Daniel J. Hopkins Georgetown University Gary King Harvard University The increasing availability of digitized text presents enormous opportunities f Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2014-09-05 23:53:57 Information science Data mining Natural language processing Statistical inference Cross-validation Random forest Subject Document classification Confidence interval Statistics Science Machine learning
339	LSIS/LIA at TREC 2012 Knowledge Base Acceleration Ludovic Bonnefoy LIA - University of Avignon [removed] Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:19 Tf*idf Random forest Precision and recall Boris Berezovsky Search engine indexing Classifier Relevance Information science Information retrieval Science
340	PEST MANAGEMENT AND SAMPLING Inventorying and Estimating Subcanopy Spider Diversity Using Semiquantitative Sampling Methods in an Afromontane Forest LINE L. SØRENSEN,1 JONATHAN A. CODDINGTON,2 Add to Reading List Source URL: entomology.si.edu Language: English - Date: 2007-10-11 12:23:23 Species richness Computational statistics Inventory Random sample Abundance Pitfall trap Bootstrapping Stratified sampling Rarefaction Statistics Sampling Measurement of biodiversity

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