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Decision trees
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191	Texture Classification based on the Boolean Model and its Application to Hep-2 Cells Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:17 Artificial intelligence Learning Decision tree learning Boolean model Statistical classification Decision tree model Random forest Machine learning Decision trees Computational statistics
192	476 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 5, MAY 1997 A Comparative Analysis of Methods for Pruning Decision Trees Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-31 13:13:25 Pruning Grafting Tree Decision tree learning T-tree Random forest Collision detection Decision trees Graph theory Mathematics
193	Empirical Evaluation of Feature Subset Algorithms based on a Real-World Data Set Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:43 Statistics Dimension reduction C4.5 algorithm Feature selection K-nearest neighbor algorithm Pattern recognition Feature extraction Ross Quinlan Random forest Machine learning Artificial intelligence Decision trees
194	Tutorial 1A: Using CHAID to Profile Latent Class Segments In Latent GOLD Choice Tutorial #1, 3 LC segments were obtained. The Importance output is one way to examine differences between these segments. As shown below, th Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:27:16 Statistics R-tree GUI widget Decision trees CHAID Regression analysis
195	USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE Paulo Cortez and Alice Silva Dep. Information Systems/Algoritmi R&D Centre University of MinhoGuimar˜aes, PORTUGAL Add to Reading List Source URL: www3.dsi.uminho.pt Language: English - Date: 2008-08-01 07:17:42 Statistical classification Decision trees Support vector machine Feature selection Regression analysis Data mining Cross-validation Decision tree learning Data analysis Statistics Machine learning Model selection
196	Decision Tree Learning read Chapter 3] recommended exercises 3.1, 3.4] Decision tree representation ID3 learning algorithm Entropy, Information gain Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-31 12:57:41 Cybernetics Statistical theory Science Applied mathematics Philosophy of thermal and statistical physics Information theory Entropy Decision tree learning Kullback–Leibler divergence Statistics Thermodynamic entropy Decision trees
197	Variable selection using Random Forests Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot To cite this version: Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot. Variable selection using Random Forests. Patt Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2015-02-02 11:22:56 Decision trees Statistical models Ensemble learning Random forest Dummy variable Linear regression Variance Decision tree learning Quantification Statistics Regression analysis Econometrics
198	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
199	software review Deeper into the Trees A new hybrid CHAID application analyzes multiple dependent variables. By Ken Deal Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:48:55 Regression analysis CHAID Market research Marketing Product management SPSS Latent class model Market segmentation Decision tree learning Statistics Computational statistics Decision trees
200	Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees Quentin J. M. Huys1,2,3.* , Neir Eshel4.¤, Elizabeth O’Nions4, Luke Sheridan4, Peter Dayan1, Jonathan P. Rois Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-03-21 04:33:57 Behavior Classical conditioning Loss aversion Human behavior Cognition Decision trees Decision theory Pruning

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