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Regularization Networks and Support Vector Machines

✍ Scribed by Theodoros Evgeniou; Massimiliano Pontil; Tomaso Poggio

Book ID
110379920
Publisher
Springer
Year
2000
Tongue
English
Weight
403 KB
Volume
13
Category
Article
ISSN
1019-7168

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πŸ“œ SIMILAR VOLUMES

Support vector machine regularization
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✍ D. M. Reeves; G. M. Jacyna πŸ“‚ Article πŸ“… 2011 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 558 KB

## Abstract Finding the best decision boundary for a classification problem involves covariance structures, distance measures, and eigenvectors. This article considers how eigenstructures are an inherent part of the support vector machine (SVM) functional basis that encodes the geometric features o

Erratum: Support vector machine regulari
Erratum: Support vector machine regularization
✍ D. M. Reeves; G. M. Jacyna πŸ“‚ Article πŸ“… 2011 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 56 KB

In the recently published article cited above, an error was found in the caption for Figure 6. The correct caption is published below. FIGURE 6 | Soft margin L 1 support vector machine decision boundary estimate based on 600 training data points with C = 100.