The task of classifying observations into known groups is a common problem in decision making. A wealth of statistical approaches, commencing with Fisher's linear discriminant function, and including variations to accommodate a variety of modeling assumptions, have been proposed. In addition, nonpar
โฆ LIBER โฆ
A neural network approach to robust shape classification
โ Scribed by Lalit Gupta; Mohammad R. Sayeh; Ravi Tammana
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 398 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
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