Support Vector Machines

Support Vector Machines

This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify thre...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Christmann, Andreas (Συγγραφέας), Steinwart, Ingo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	New York, NY : Springer New York, 2008.
Σειρά:	Information Science and Statistics,
Θέματα:	Computer science. Mathematical statistics. Data mining. Artificial intelligence. Pattern recognition. Computer Science. Artificial Intelligence (incl. Robotics). Probability and Statistics in Computer Science. Pattern Recognition. Data Mining and Knowledge Discovery. Signal, Image and Speech Processing.
Διαθέσιμο Online:	Full Text via HEAL-Link

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