Relaxed constraints support vector machine
β Scribed by Mostafa Sabzekar; Hadi Sadoghi Yazdi; Mahmoud Naghibzadeh
- Book ID
- 111060640
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 663 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0266-4720
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## 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
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.