"Partitioner Trees for Classification: A New Ensemble Method"

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Book	Author(s)	Year	Publisher
Pattern classification using ensemble methods	Rokach L.	2010	WS
Nonequilibrium Statistical Mechanics: Ensemble Method	Byung Chan Eu	1998	Springer Netherlands
Classification And Regression Trees	Leo Breiman	1984	Routledge
Ensemble classification methods with applications in R	Alfaro, Esteban; Gámez, Matías; García, Noelia	2019	John Wiley & Sons
New American music for chamber ensemble.	Fortunato, D'Anna,; Pittman, Richard,; Heiss, John.; Shifrin, Seymour,; Lansky, Paul,	[1978], ©1978.	Nonesuch Records,
New American works for clarinet ensemble.	Reich, Steve,; Kupferman, Meyer,; Schickele, Peter.; Moross, Jerome,; Harberg, Amanda.; Ronkin, Bruce.; Ewazen, Eric,
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations	Oleg Okun, Lambros Skarlas	2011	IGI Global snippet
A new method for global optimization	James K. Hartman	1973	Naval Postgraduate School
Language Classification: History and Method	Lyle Campbell; William J. Poser	2008-06	Cambridge University Press
Chemical method, notation, classification, & nomenclature	Auguste Laurent	1855	Cavendish Society
The tree-lifter: or, a new method of transplanting forest trees	George Greenwood	1844	Longman, Brown, Green and Longmans
Essential Elements for Jazz Ensemble a Comprehensive Method for Jazz Style and Improvisation / Conductor	Steinel Mike	December 2000	Hal Leonard Publishing Corporation
Using Classification And Regression Trees: A Practical Primer	Xin Ma	2018	Information Age Publishing
A New classification scheme for communities in Massachusetts	Massachusetts. Dept. of Education	1985	Massachusetts Dept. of Education
KammarensembleN: the Swedish ensemble for new music.	Krook, Ansgar.; Eliasson, Anders,; Strindberg, Henrik,; Hambræus, Bengt,; Valkare, Gunnar.; Ekström, Lars.	1992.	Phono Suecia,
New York New Music Ensemble.	Black, Robert,; Wuorinen, Charles.; Schwantner, Joseph,; Blaustein, Susan.	[1990], ℗1990.	GM Recordings,
A new method for boundary value problems	Fernando Heredia N.	1985	Naval Postgraduate School
Chemical method: notation,classification and nomenclature	Auguste Laurent	1855	Printed for the Cavendish Society by Harrison and Sons
Dr Stark's proposed new classification of diseases for statistical purposes: (new Scottish classification)	Stark, James	1864	s.n.
Palimpsest for ensemble: Epei for ensemble; Dikhthas; Akanthos.	Xenakis, Iannis,; Protheroe, Guy.; Arditti, Irvine.; Xenakis, Iannis,; Xenakis, Iannis,; Xenakis, Iannis,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Partitioner Trees for Classification: A New Ensemble Method	Georg Krempl; Vera Hofer	Applications of Supervised and Unsupervised Ensemble Methods	Oleg Okun	2010	Springer Berlin Heidelberg
GRASP Forest: A New Ensemble Method for Trees	José F. Diez-Pastor; César García-Osorio; Juan J. Rodríguez; Andrés Bustillo	Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings	Carlo Sansone; Josef Kittler; Fabio Roli	2011	Springer Berlin Heidelberg
A Robust Ensemble Classification Method Analysis	Zhongwei Zhang; Jiuyong Li; Hong Hu; Hong Zhou	Advances in Computational Biology	Hamid R. Arabnia	2010	Springer New York
A Novel Ensemble Method for Time Series Classification	Sami M. Halawani; Ibrahim A. Albidewi; Amir Ahmad	Computer Networks and Intelligent Computing: 5th International Conference on Information Processing, ICIP 2011, Bangalore, India, August 5-7, 2011. Proceedings	K. R. Venugopal; L. M. Patnaik	2011	Springer Berlin Heidelberg
A Novel Ensemble Method for Underwater Mines Classification	G. Divyabarathi; S. Shailesh; M. V. Judy; R. Krishnakumar	Innovative Data Communication Technologies and Application: Proceedings of ICIDCA 2021	Jennifer S. Raj; Khaled Kamel; Pavel Lafata	1st ed. 2022	Springer Nature Singapore
A New Pairwise Ensemble Approach for Text Classification	Yan Liu; Jaime Carbonell; Rong Jin	Machine Learning: ECML 2003: 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings	Nada Lavrač; Dragan Gamberger; Ljupco Todorovski; Hendrik Blockeel	2003	Springer Berlin Heidelberg
A New Method for Inconsistent Multicriteria Classification	Weibin Deng; Guoyin Wang; Shuangxia Yang; Feng Hu	Rough Set and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings	JingTao Yao; Sheela Ramanna; Guoyin Wang; Zbigniew Suraj	2011	Springer Berlin Heidelberg
Partitioner		Mastering Apache Cassandra, Second Edition [2nd Ed] True PDF	Nishant Neeraj	2015	Packt Publishing
A New Method for Balancing Binary Search Trees	Salvador Roura	Automata, Languages and Programming: 28th International Colloquium, ICALP 2001 Crete, Greece, July 8–12, 2001 Proceedings	Fernando Orejas; Paul G. Spirakis; Jan van Leeuwen	2001	Springer Berlin Heidelberg
MGEoT: A Multi-grained Ensemble Method for Time Series Classification	Ziyi Wang; Yujie Zhou; Chun Li; Lin Shang; Bing Xue	PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part I	Duc Nghia Pham; Thanaruk Theeramunkong; Guido Governatori; Fenrong Liu	1st ed. 2021	Springer International Publishing
Ensemble Classification	Max Bramer	Principles of Data Mining	Max Bramer	2nd ed. 2013	Springer London
Ensemble Classification	Max Bramer	Principles of Data Mining	Max Bramer	3rd ed. 2016	Springer London
Ensemble Classification	Max Bramer	Principles of Data Mining	Max Bramer	4th ed. 2020	Springer London
A New Dynamic Ensemble Selection Method for Numeral Recognition	Albert Hung-Ren Ko; Robert Sabourin; Alceu de Souza Britto Jr.	Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings	Michal Haindl; Josef Kittler; Fabio Roli	2007	Springer Berlin Heidelberg
A New Dynamic Ensemble Selection Method for Numeral Recogniti		Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings	Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin (auth.), Michal Haindl, Josef Kittler, Fabio Roli (eds.)	2007	Springer-Verlag Berlin Heidelberg
34 Ensemble Method Based on Decision Trees		Proceedings of the 6th Asia-Pacific Bioinformatics Conference: Kyoto, Japan, 14-17 January 2008 (Series on Advances in Bioinformatics and Computational Biology)	Alvis Brazma, Satoru Miyano, Tatsuya Akutsu	2008	World Scientific Publishing Company
Decision trees for classification		Machine Learning with Scala Quick Start Guide: Leverage popular machine learning algorithms and techniques and implement them in Scala	Md. Rezaul Karim	2019	Packt Publishing
Extra trees for classification		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification	Giuliano Armano; Camelia Chira; Nima Hatami	Pattern Recognition in Bioinformatics: 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings	Marco Loog; Lodewyk Wessels; Marcel J. T. Reinders; Dick Ridder	2011	Springer Berlin Heidelberg
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees	Albrecht Zimmermann	Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings	Jean-Francois Boulicaut; Michael R. Berthold; Tamás Horváth	2008	Springer Berlin Heidelberg
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