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Can I read Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing, 177) on EtoBox?
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing, 177) by V. Kecman (auth.), Professor Lipo Wang (eds.) is a computer science book available to read on EtoBox.
What is Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing, 177) about?
<p>The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respecti
Who reads Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing, 177)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- V. Kecman (auth.), Professor Lipo Wang (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2005
- Language
- EN
- ISBN
- 9783540243885
- Category
- computer science
- Subjects
- Mathematics, Science, Technology
- Rating
- 5 / 5 (1 ratings)
- Updated
- 2026-03-25
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