Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data

The induction error in random tree ensembling results mainly from the strength of decision trees and the dependency between base classifiers. In order to reduce the errors due to both factors, a Semi-Random Decision Tree Ensembling (SRDTE) for mining streaming data is proposed based on our previous...

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Bibliographic Details
Main Authors: LI, Peipei, LIANG, Qianhui (Althea), WU, Xindong, Hu, X.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/454
http://dx.doi.org/10.1007/978-3-642-01307-2_35
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Institution: Singapore Management University
Language: English