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Ensemble learning
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#	Item
301	Web-based Appendix for The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling Andreas Mayr∗1 , Harald Binder2 , Olaf Gefeller1 , Matthias Schmid1,3 1 Add to Reading List Source URL: www.schattauer.de Language: English - Date: 2014-11-07 04:52:43 Gradient boosting Errors and residuals in statistics R AdaBoost Ordinary least squares Degrees of freedom Least squares Boosting Bootstrapping Statistics Regression analysis Ensemble learning
302	Institut für Informatik und Wirtschaftsinformatik -- Lehrstuhl für Wirtschaftsinformatik V Dr. Heiko Paulheim / Robert Meusel Exercise 4: Data Mining II – Ensembles In this exercise we will focus on all kinds of ense Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:11 Learning Classifier Boosting AdaBoost Statistical classification Random subspace method Cascading classifiers Ensemble learning Statistics Artificial intelligence
303	Music Inclusion Strategies: Middle School Ensemble Model Cornerstone Assessments VSA/Accessibility The John F. Kennedy Center for the Performing Arts Alice Anne Darrow, Mary Adamek, Jean Crockett Inclusion in Music Educa Add to Reading List Source URL: nationalartsstandards.org Language: English - Date: 2014-10-17 18:23:32 Disability Education policy Music education Inclusion Learning disability Universal Design for Learning Formative assessment Research in Music Education VSA arts Education Educational psychology Special education
304	Music Inclusion Strategies: Middle School Ensemble Model Cornerstone Assessments VSA/Accessibility The John F. Kennedy Center for the Performing Arts Alice Anne Darrow, Mary Adamek, Jean Crockett Inclusion in Music Educa Add to Reading List Source URL: nationalartsstandards.org Language: English - Date: 2014-10-17 18:23:39 Disability Education policy Music education Inclusion Learning disability Universal Design for Learning Formative assessment Research in Music Education VSA arts Education Educational psychology Special education
305	Data Mining II Ensembles Heiko Paulheim, Robert Meusel Introduction Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:12 Statistical classification Parts of speech Bayesian statistics Ensemble learning Classifier Bob Meusel Naive Bayes classifier Statistics Baseball Machine learning
306	1 RANDOM FORESTS Leo Breiman Statistics Department Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2001-12-12 14:25:29 AdaBoost Confidence interval Boosting Variance Random subspace method Statistics Ensemble learning Random forest
307	Named Entity Recognition through Classifier Combination Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang IBM T.J. Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA {raduf,abei,hjin Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:50:31 Statistical classification Linear classifier Classifier Ensemble learning Part-of-speech tagging Multinomial logit Random subspace method Boosting methods for object categorization Statistics Machine learning Artificial intelligence
308	A Simple Named Entity Extractor using AdaBoost Xavier Carreras and Llu´ıs M`arquez and Llu´ıs Padr´o TALP Research Center Departament de Llenguatges i Sistemes Inform`atics Universitat Polit`ecnica de Catalunya {car Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:48:01 Machine learning Computational linguistics Ensemble learning Statistical classification Parts of speech AdaBoost Named-entity recognition Classifier Part-of-speech tagging Statistics Science Linguistics
309	ML Techniques for Labeling Legal Opinions Christopher Hundt FAIR HOUSING COUNCIL v. ROOMMATES.COM 3455 Add to Reading List Source URL: chris.robocourt.com Language: English - Date: 2008-05-27 15:40:21 AdaBoost Ensemble learning
310	Combining Distant and Partial Supervision for Relation Extraction Gabor Angeli, Julie Tibshirani, Jean Y. Wu, Christopher D. Manning Stanford University Stanford, CA 94305 {angeli, jtibs, jeaneis, manning}@stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-09-12 13:05:40 Statistical classification Learning Natural language processing Supervised learning Binary classification Information extraction Ensemble learning Machine learning Statistics Artificial intelligence

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