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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
- 1550-4786
- Citation
- Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 243 - 249
- Indexed
- 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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