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Decision tree learning
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#	Item
211	A Handbook of Statistical Analyses Using R — 3rd Edition Torsten Hothorn and Brian S. Everitt CHAPTER 9 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-19 11:28:26 Learning Machine learning R-tree Blindness Glaucoma Decision tree learning Tree Random forest Recursive partitioning Decision trees Statistics Computational statistics
212	Elder, J. F. IV[removed]Proceedings of 26th Symposium on the Interface, Research Triangle Park, NC, June 15-18, pp[removed]Growing Decision Trees Less Greedily John F. Elder IV, Rice University* Dept. Computational & A Add to Reading List Source URL: datamininglab.com Language: English Computational statistics Model selection Decision trees Decision tree learning Feature selection Stepwise regression Data mining Greedy algorithm Artificial neural network Statistics Machine learning Regression analysis
213	party with the mob: Model-Based Recursive Partitioning in R Achim Zeileis Torsten Hothorn Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-17 12:30:49 Ordinary least squares Linear regression Nonlinear regression Dummy variable Coefficient of determination Decision tree learning Generalized linear model Statistics Regression analysis Least squares
214	Parallel Data Mining Revisited. Better, Not Faster Zaenal Akbar, Violeta N. Ivanova, and Michael R. Berthold Nycomed-Chair for Bioinformatics and Information Mining Dept. of Computer and Information Science, University o Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2013-05-17 06:56:48 Artificial intelligence Data mining Data analysis Search algorithms Heuristics Algorithm Greedy algorithm Decision tree learning Heuristic function Statistics Mathematics Machine learning
215	Induction and Polynomial Networks John F. Elder IV Donald E. Brown IPC-TR[removed] Add to Reading List Source URL: datamininglab.com Language: English Computational neuroscience Machine learning Regression analysis Group method of data handling Artificial neural network Interpolation Overfitting Decision tree learning Algorithm Statistics Neural networks Computational statistics
216	Ensembles and PMML in KNIME Alexander Fillbrunn1 , Iris Adä1 , Thomas R. Gabriel2 and Michael R. Berthold1,2 1 Department of Computer and Information Science Universit¨ Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2013-11-17 10:23:32 Markup languages Computing Predictive Model Markup Language ADAPA KNIME Data mining Predictive analytics Ensemble learning Decision tree Statistics Business intelligence Science
217	___________________________________________________________________________________ MAPPING FOREST ATTRIBUTES IN THE INTERIOR WEST: COMPARING PREDICTIVE MODELING TOOLS Gretchen Moisen et al. (presented by Raymond L. Cza Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2007-02-26 14:37:22 Regression analysis Machine learning Business intelligence Scientific method ADAPA Multivariate adaptive regression splines Decision tree learning Economic model Scientific modelling Statistics Information Science
218	Package ‘evtree’ October 15, 2014 Title Evolutionary Learning of Globally Optimal Trees Version[removed]Date[removed]Description Commonly used classification and regression tree methods like the CART algorithm Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-15 07:16:42 Artificial intelligence Data mining Ensemble learning Decision tree learning Machine learning Random forest Regression analysis Decision trees Statistics Computational statistics
219	Add to Reading List Source URL: www.landcover.org Language: English - Date: 2013-01-17 23:25:26 Decision tree learning Statistics Computational statistics Artificial intelligence Moderate-Resolution Imaging Spectroradiometer Data mining EVI
220	Object Classification at the Nearby Supernova Factory S. Bailey,1⋆ , C. Aragon,1 , R. Romano,1,2, R. C. Thomas,1 , B. A. Weaver1,3, and D. Wong1 1 2 3 Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2008-07-07 20:08:50 Decision trees Light sources Astrophysics Statistical classification Machine learning Supernova Support vector machine Decision tree learning Random forest Astronomy Supernovae Statistics

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