Support Vector Machines
Andreas Christmann, Ingo Steinwart
Springer-Verlag New York Inc., 2014
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In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e?ciency compared with several other methods.
- ISBN-13
- 9781489989635
- ISBN-10
- 1489989633
- Publisher
- Springer-Verlag New York Inc.
- Year
- 2014
- Publication date
- 2014-10-31
- Pages
- 601
- Dimensions
- 156x236x39
- Weight
- 914