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Convex hull ensemble machine

Title
Convex hull ensemble machine
Authors
Kim Y.
Ewha Authors
김용대
Issue Date
2002
Journal Title
Proceedings - IEEE International Conference on Data Mining, ICDM
ISSN
1550-4786JCR Link
Citation
Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 243 - 249
Indexed
SCOPUS scopus
Document Type
Conference Paper
Abstract
We propose a new ensemble algorithm called "Convex Hull Ensemble Machine (CHEM)." CHEM in Hilbert space is developed first and it is modified to regression and classification problems. Empirical studies show that in classification problems CHEM has similar prediction accuracy as AdaBoost, but CHEM is much more robust to output noise. In regression problems, CHEM work competitively with other ensemble methods such as Gradient Boost and Bagging. © 2002 IEEE.
ISBN
0769517544

9780769517544
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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