Abstract
The combination of classifiers has become a very active research area in recent years, and many results have been obtained through various methods. This paper presents some of our theoretical and experimental work in this domain.
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Keywords
- Recognition Rate
- Majority Vote
- Rejection Rate
- Probabilistic Neural Network
- Optical Character Recognition
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1998 Springer-Verlag Berlin Heidelberg
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Lam, L., Suen, C.Y. (1998). Rejection versus error in a multiple experts environment. In: Amin, A., Dori, D., Pudil, P., Freeman, H. (eds) Advances in Pattern Recognition. SSPR /SPR 1998. Lecture Notes in Computer Science, vol 1451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033299
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DOI: https://doi.org/10.1007/BFb0033299
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