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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2009
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| Subjects: | |
| 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 |