apply the "kernel trick" to obtain a non-linear variant of Fisher's linear discriminant analysis method, demonstrating state-of-the-art performance on a range of benchmark data sets. We show that leave-one-out cross-validation of kernel Fisher discriminant classiΓΏers can be implemented with a comput
β¦ LIBER β¦
Efficient approximate leave-one-out cross-validation for
β Scribed by Gavin C. Cawley; Nicola L. C. Talbot
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 695 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0885-6125
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