Random Forests
Leo Breiman
- Vol. 45, Iss: 1, pp 5-32
TLDR
Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.Abstract:
Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in the forest. The generalization error for forests converges a.s. to a limit as the number of trees in the forest becomes large. The generalization error of a forest of tree classifiers depends on the strength of the individual trees in the forest and the correlation between them. Using a random selection of features to split each node yields error rates that compare favorably to Adaboost (Y. Freund & R. Schapire, Machine Learning: Proceedings of the Thirteenth International conference, aaa, 148–156), but are more robust with respect to noise. Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the splitting. Internal estimates are also used to measure variable importance. These ideas are also applicable to regression.read more
Citations
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Survey on 3D Hand Gesture Recognition
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VHE γ-Ray Observation of the Crab Nebula and its Pulsar with the MAGIC Telescope
Justin Albert,E. Aliu,H. Anderhub,P. Antoranz,A. Armada,C. Baixeras,Juan Abel Barrio,H. Bartko,Denis Bastieri,Julia Becker,W. Bednarek,K. Berger,Ciro Bigongiari,Adrian Biland,R. K. Bock,R. K. Bock,Pol Bordas,Valentí Bosch-Ramon,Thomas Bretz,I. Britvitch,M. Camara,E. Carmona,Ashot Chilingarian,J. A. Coarasa,S. Commichau,Jose Luis Contreras,Juan Cortina,M. T. Costado,V. Curtef,V. Danielyan,Francesco Dazzi,A. De Angelis,C. Delgado,R. de los Reyes,B. De Lotto,E. Domingo-Santamaría,Daniela Dorner,Michele Doro,Manel Errando,Michela Fagiolini,Daniel Ferenc,E. Fernandez,R. Firpo,Jose Flix,M. V. Fonseca,Ll. Font,M. Fuchs,Nicola Galante,R. J. García-López,M. Garczarczyk,Markus Gaug,Maria Giller,Florian Goebel,D. Hakobyan,Masaaki Hayashida,T. Hengstebeck,A. Herrero,D. Höhne,J. Hose,C. C. Hsu,P. Jacon,T. Jogler,R. Kosyra,D. Kranich,R. Kritzer,A. Laille,Elina Lindfors,Saverio Lombardi,Francesco Longo,Jorge Andres Lopez Lopez,M. López,E. Lorenz,E. Lorenz,P. Majumdar,G. Maneva,K. Mannheim,Oriana Mansutti,Mosè Mariotti,M. I. Martínez,Daniel Mazin,C. Merck,Mario Meucci,M. Meyer,Jose Miguel Miranda,R. Mirzoyan,S. Mizobuchi,Abelardo Moralejo,Daniel Nieto,K. Nilsson,Jelena Ninkovic,E. Oña-Wilhelmi,N. Otte,N. Otte,I. Oya,David Paneque,M. Panniello,Riccardo Paoletti,J. M. Paredes,M. Pasanen,D. Pascoli,F. Pauss,R. Pegna,Massimo Persic,Massimo Persic,L. Peruzzo,A. Piccioli,M. Poller,Elisa Prandini,N. Puchades,A. Raymers,Wolfgang Rhode,Marc Ribó,J. Rico,M. Rissi,A. Robert,S. Rügamer,A. Saggion,Alvaro Sanchez,P. Sartori,V. Scalzotto,V. Scapin,R. Schmitt,T. Schweizer,M. Shayduk,M. Shayduk,K. Shinozaki,S. N. Shore,N. Sidro,A. Sillanpää,Dorota Sobczyńska,Antonio Stamerra,L. S. Stark,L. O. Takalo,Petar Temnikov,D. Tescaro,Masahiro Teshima,N. Tonello,Diego F. Torres,Nicola Turini,H. Vankov,V. Vitale,Robert Wagner,Tadeusz Wibig,W. Wittek,F. Zandanel,Roberta Zanin,J. Zapatero +146 more
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