Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost โ an inherent inability to explain in a compre
โฆ LIBER โฆ
[Studies in Computational Intelligence] Rule Extraction from Support Vector Machines Volume 80 || Rule Extraction from Support Vector Machines: An Introduction
โ Scribed by Diederich, Joachim
- Book ID
- 120642814
- Publisher
- Springer Berlin Heidelberg
- Year
- 2008
- Weight
- 286 KB
- Category
- Article
- ISBN
- 3540753907
No coin nor oath required. For personal study only.
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