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Random forest
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#	Item
21	EUSIPCO EVENT DETECTION IN SHORT DURATION AUDIO USING GAUSSIAN MIXTURE MODEL AND RANDOM FOREST CLASSIFIER Anurag Kumar1, Rajesh M Hegde1, Rita Singh2, Bhiksha Raj2 1. Indian Institute of Technology Kanpu Add to Reading List Source URL: home.iitk.ac.in Language: English
22	Food-101 – Mining Discriminative Components with Random Forests Lukas Bossard1 1 Matthieu Guillaumin1 Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2014-07-09 13:23:14 Support vector machine Random forest Statistics Statistical classification Linear classifier
23	The Arborist: a High-Performance Random Forest Implementation Mark Seligman Suiji May 27, 2015 Add to Reading List Source URL: www.rinfinance.com Language: English - Date: 2015-06-04 06:40:23 Central processing unit Learning Artificial intelligence Ensemble learning Random forest Arborist
24	An Empirical Comparison of Supervised Learning Algorithms Rich Caruana Alexandru Niculescu-Mizil Department of Computer Science, Cornell University, Ithaca, NYUSA Add to Reading List Source URL: www.niculescu-mizil.org Language: English - Date: 2008-11-22 14:04:17 Ensemble learning Bayesian statistics Neural networks Supervised learning Support vector machine Naive Bayes classifier Boosting Random forest Calibration Statistics Machine learning Statistical classification
25	Credit Scoring in R 1 of 45 Guide to Credit Scoring in R Add to Reading List Source URL: ftp.cixug.es 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
26	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.cixug.es 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
27	Random set marking for a Cox point proces Antti Penttinen, University of Jyväskylä Aki Niemi, University of Jyväskylä and the Finnish Forest Research Institute Cox point process is a class for hierarchical modelling Add to Reading List Source URL: sixthfrenchdanish.math.aau.dk - Date: 2007-10-29 07:28:50
28	B ARCELONA G RADUATE S CHOOL OF E CONOMICS - D ATA S CIENCE Random Forest Cover Type Prediction Jéssica Leal, Tim Kreienkamp and Philipp Schmidt Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Ensemble learning Decision trees Regression analysis Random forest Cross-validation Overfitting Gradient boosting Boosting Decision tree learning Machine learning Statistics Computational statistics
29	Parallel Large Scale Feature Selection for Logistic Regression Sameer Singh, University of Massachusetts Amherst MA 01003 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-01-28 18:57:39 Feature selection Logistic regression Random forest Stepwise regression Mathematical optimization Support vector machine Algorithm Statistics Regression analysis Iteratively reweighted least squares
30	Ensemble Methods: committee-based learning Jay Hyer linkedin.com/in/jayhyer @aDataHead Add to Reading List Source URL: adataheadsdiary.files.wordpress.com Language: English - Date: 2013-12-20 15:31:27 Bootstrap aggregating Random forest Machine learning Ensemble learning AdaBoost

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