Support Vector Machines for Pattern Classification

Support Vector Machines for Pattern Classification

Εμφάνιση άλλων εκδόσεων (3)

I was shocked to see a student’s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers that we had developed withourbestendeavors.Classi?cationperformanceofourfuzzyclassi?erswas comparable, but in most cases inferior, to that of support vector machines. This t...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Abe, Shigeo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	London : Springer London, 2005.
Σειρά:	Advances in Pattern Recognition
Θέματα:	Computer science. Artificial intelligence. Text processing (Computer science). Pattern recognition. Control engineering. Robotics. Mechatronics. Computer Science. Pattern Recognition. Document Preparation and Text Processing. Artificial Intelligence (incl. Robotics). Control, Robotics, Mechatronics.
Διαθέσιμο Online:	Full Text via HEAL-Link

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