Support vector machines for antenna array processing and electromagnetics
Support vector machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustne...
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| Format: | Electronic |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2006.
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| Edition: | 1st ed. |
| Series: | Synthesis lectures on computational electromagnetics (Online),
#5. |
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| Online Access: | Abstract with links to full text |
| Summary: | Support vector machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. |
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| Item Description: | Part of: Synthesis digital library of engineering and computer science. Title from PDF t.p. (viewed on Oct. 19, 2008). Series from website. |
| Physical Description: | 1 electronic text (ix, 110 p. : ill.) : digital file. Also available in print. |
| Format: | Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader. |
| Bibliography: | Includes bibliographical references (p. 103-108) and index. |
| ISBN: | 1598290258 (electronic bk.) 9781598290257 (electronic bk.) 159829024X (pbk.) 9781598290240 (pbk.) |
| ISSN: | 1932-1716 ; |
| Access: | Abstract freely available; full-text restricted to subscribers or individual document purchasers. |