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Opis

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 respective fields.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 the respective fields.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Support Vector Machines: Theory and Applications
• Autor: Lipo Wang
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 431
• EAN: 9783642063688
• ID: 01651628
• Wydawca: Springer, Berlin
• Waga: 668 g
• Wymiary: 22 × 159 × 24 mm
• Rok wydania: 2010

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