The nearest neighbor rule or k-nearest neighbor rule is a technique of nonparametric pattern recognition. Its algorithm is simple and the error is smaller than twice the Bayes error if there are enough training samples. However, it requires an enormous amount of computation, proportional to the numb
✦ LIBER ✦
Branch and bound with estimation based on pseudo-shadow-prices
✍ Scribed by Bjørn Nygreen
- Publisher
- Springer-Verlag
- Year
- 1991
- Tongue
- English
- Weight
- 560 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0025-5610
No coin nor oath required. For personal study only.
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