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Decision tree learning
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#	Item
221	Assessment/Curriculum Decision Tree for Reading Improvement Grades 3-12 for the Florida Assessments for Instruction in Reading If student’s FSP score on Broad Screen = 85% or higher (Green Zone) (Box 1) • • Add to Reading List Source URL: www.fcrr.org Language: English - Date: 2009-09-04 08:13:01 Applied linguistics Phonics Learning Education in the United States Reading comprehension Fluency Reading comprehension for special needs Reading education in the United States Education Reading Linguistics
222	Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities Aditya Khosla, Bangpeng Yao and Li Fei-Fei 1 Introduction Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-01 15:26:45 Statistical classification Decision trees Ensemble learning Computer vision Random forest Feature selection Object recognition Decision tree learning Segmentation Statistics Machine learning Artificial intelligence
223	Add to Reading List Source URL: glcfapp.glcf.umd.edu Language: English - Date: 2013-01-17 23:25:26 Decision tree learning Statistics Computational statistics Artificial intelligence Moderate-Resolution Imaging Spectroradiometer Data mining EVI
224	An Introduction to Recursive Partitioning Using the RPART Routines Terry M. Therneau Elizabeth J. Atkinson Mayo Foundation March 28, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:21:15 Summary statistics Distribution of wealth Welfare economics Bayesian statistics Decision tree learning Gini coefficient Prior probability Binary tree R-tree Statistics Economics Probability and statistics
225	Tree Structured Data Analysis: AID, CHAID and CART Leland Wilkinson SPSS Inc., 233 South Wacker, Chicago, IL[removed]Department of Statistics, Northwestern University, Evanston, IL[removed]email: [removed] KEY WORDS: r Add to Reading List Source URL: www.cs.uic.edu Language: English - Date: 2010-02-27 00:59:50 Econometrics Machine learning Statistical methods Decision tree learning CHAID Linear discriminant analysis Analysis of covariance Dummy variable Linear regression Statistics Regression analysis Decision trees
226	Mobiles Leland Wilkinson SPSS, Inc. Northwestern University [removed] Add to Reading List Source URL: www.cs.uic.edu Language: English - Date: 2010-02-27 00:59:51 Econometrics Machine learning Statistical models Decision tree learning CHAID Ordinary least squares Dummy variable Decision tree Statistics Regression analysis Decision trees
227	Appendix A: Data Compilation and Analytic Methodology Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-12-20 15:05:52 Probability theory Multivariate statistics Econometrics Linear discriminant analysis Variance CHAID Data analysis Decision tree learning Expected value Statistics Decision trees Regression analysis
228	Multi-Instance Tree Learning Hendrik Blockeel [removed] Katholieke Universiteit Leuven, Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium David Page Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:37 Artificial intelligence Learning R-tree Data mining Decision tree learning Pruning Heuristic function Decision trees Machine learning Computational statistics
229	Decision Trees with Minimal Costs Charles X. Ling Department of Computer Science, The University of Western Ontario, London, Ontario N6A 5B7, Canada Qiang Yang Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:03 Machine learning Computational statistics Data mining Operations research Decision tree learning Decision tree Backtracking Statistical hypothesis testing Pruning Statistics Decision trees Artificial intelligence
230	Bagging Predictors By Leo Breiman* Add to Reading List Source URL: statistics.berkeley.edu Language: English - Date: 2014-03-15 03:15:37 Econometrics Regression analysis Ensemble learning Bootstrap aggregating Linear regression Decision tree learning Bootstrapping Cross-validation Leo Breiman Statistics Machine learning Computational statistics

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