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Ensemble learning
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361	The Science of Singing Along T he S cience of S inging A long : A Q uantitative F ield S tudy S ing - along B ehavior in the N orth of E ngland A lisun P awley Add to Reading List Source URL: www.doc.gold.ac.uk Language: English - Date: 2012-12-03 04:50:37 Decision trees Ensemble learning Random forest Linear regression Decision tree learning Statistical model Least squares Correlation and dependence Statistics Regression analysis Econometrics
362	Superlinear Parallelization of k-Nearest Neighbor Retrieval Antal van den Bosch Ko van der Sloot Add to Reading List Source URL: ilk.uvt.nl Language: English - Date: 2010-04-09 10:59:04 Search algorithms Statistical classification K-nearest neighbor algorithm Ensemble learning Classifier Word-sense disambiguation Nearest neighbor search AdaBoost Boosting methods for object categorization Machine learning Artificial intelligence Information science
363	Package ‘ipred’ July 2, 2014 Title Improved Predictors Version[removed]Date[removed]Description Improved predictive models by indirect classification and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:12:12 Computational statistics Statistical inference Decision trees Bootstrap aggregating Random forest Bootstrapping Leo Breiman Resampling Cross-validation Statistics Machine learning Ensemble learning
364	Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, and Ken Goldberg Abstract To address privacy concerns regarding d Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2008-10-24 20:13:34 Computer graphics Learning AdaBoost Boosting Decision stump Face detection Visual privacy Pixel Image resolution Image processing Ensemble learning Artificial intelligence
365	From Trees to Forests and Rule Sets A Unified Overview of Ensemble Methods Giovanni Seni [removed] PDF Solutions, Inc., Santa Clara University Add to Reading List Source URL: datamininglab.com Language: English Regression analysis Ensemble learning Econometrics Decision tree learning Regularization Random forest ADAPA Gradient boosting Elastic net regularization Statistics Machine learning Decision trees
366	arXiv:1205.4476v3 [stat.ML] 22 Feb[removed]Soft Rule Ensembles for Supervised Learning Deniz Akdemir∗1 , Nicolas Heslot1,2 and Jean-Luc Jannink1,3 1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-02-24 20:20:21 Regression analysis Econometrics Machine learning Logistic regression Supervised learning Gradient boosting Maximum likelihood Decision tree learning AdaBoost Statistics Decision trees Ensemble learning
367	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 03:52:02 Regression analysis Gradient boosting Boosting AdaBoost Smoothing spline LogitBoost Least squares Logistic regression Additive model Statistics Machine learning Ensemble learning
368	Package ‘bagRboostR’ July 2, 2014 Type Package Title Ensemble bagging and boosting classifiers Version 0.0.2 Author Shannon Rush Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:17:44 Machine learning Computational statistics Statistical classification AdaBoost Classifier Decision trees Random subspace method Bayesian statistics Multinomial logit Ensemble learning Artificial intelligence Learning
369	Applied Geography[removed]21e34 Contents lists available at ScienceDirect Applied Geography journal homepage: www.elsevier.com/locate/apgeog Add to Reading List Source URL: www.familyforestresearchcenter.org Language: English - Date: 2013-12-23 10:31:02 Categorical data Ensemble learning Multinomial logit Logistic regression Logit Multinomial Geographic information system Random forest Spatial analysis Statistics Regression analysis Econometrics
370	The Generalization Paradox of Ensembles John F. ELDER IV Ensemble models—built by methods such as bagging, boosting, and Bayesian model averaging—appear dauntingly complex, yet tend to strongly outperform their compo Add to Reading List Source URL: datamininglab.com Language: English Econometrics Computational statistics Neural networks Multivariate adaptive regression splines Group method of data handling Data mining Overfitting Linear regression Mathematical model Statistics Regression analysis Machine learning

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