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Support vector machines : optimization based theory, algorithms, and extensions /
"Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have been successfull...
| 第一著者: | |
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| その他の著者: | , |
| フォーマット: | Printed Book |
| 言語: | English |
| 出版事項: |
United States:
C R C press,
2013.
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| シリーズ: | Chapman & Hall/CRC data mining and knowledge discovery series
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| 主題: |
University of Calicut
| 請求記号: |
519.6 DEN/S |
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| 所蔵 | ステータス情報は利用できません |