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Random forest
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#	Item
191	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
192	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
193	1 RANDOM FORESTS Leo Breiman Statistics Department Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2012-04-21 09:42:39 AdaBoost Confidence interval Boosting Variance Random subspace method Statistics Ensemble learning Random forest
194	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
195	Structured Class-Labels in Random Forests for Semantic Image Labelling Peter Kontschieder? , Samuel Rota Bul`o∆ , Horst Bischof? and Marcello Pelillo∆ ∆ ? Institute for Computer Graphics and Vision Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2012-02-12 07:11:11 Random forest Structured prediction Supervised learning Statistical classification Function Support vector machine Machine learning Statistics Artificial intelligence
196	A Course in Machine Learning Hal Daumé III 11 \| E NSEMBLE M ETHODS Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:32 Boosting Linear classifier Statistical classification Perceptron Random forest Decision stump K-nearest neighbor algorithm Margin classifier Random subspace method Machine learning Ensemble learning AdaBoost
197	Credit Scoring in R 1 of 45 Guide to Credit Scoring in R Add to Reading List Source URL: cran.parentingamerica.com Language: English - Date: 2009-10-08 13:21:02 Biostatistics Econometrics Statistical models Credit score Data mining Random forest Logistic regression Pruning Recursive partitioning Statistics Regression analysis Decision trees
198	December 18, :41 Emerald/Internet Research/Pre-print Add to Reading List Source URL: chato.cl Language: English - Date: 2012-12-18 13:42:57 Biostatistics Bioinformatics Information retrieval Receiver operating characteristic Precision and recall Random forest Binary classification Naive Bayes classifier Sensitivity and specificity Statistics Statistical classification Machine learning
199	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.yzu.edu.tw Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
200	12825-Ballings_VandenPoel Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2013-01-08 02:30:54 Statistical classification Kernel trick Kernel Random forest Support vector machine Linux kernel Kernel principal component analysis Kernel adaptive filter Machine learning Statistics Mathematics

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