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MEGA VÝHODNÉ
An examination of least squares support vector machines (LS-SVMs) which are reformulations to standard SVMs. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is also discussed.
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An examination of least squares support vector machines (LS-SVMs) which are reformulations to standard SVMs. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is also discussed.
schovat popis
- Nakladatel: World Scientific Publishing Co Pte Ltd
- Kód:
- Rok vydání: 2002
- Jazyk: Angličtina
- Vazba: Gebunden
- Počet stran: 308
- Šířka balení: 16 cm
- Výška balení: 23.4 cm
- Hloubka balení: 2.1 cm
- Váha balení: 588 g
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