Support Vector Machines and Evolutionary Algorithms for Classification Single or Together? /

• Κύριοι συγγραφείς: Stoean, Catalin (Συγγραφέας), Stoean, Ruxandra (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Intelligent Systems Reference Library, 69
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding...

Πίνακας περιεχομένων:

• Support Vector Machines
• Evolutionary Algorithms
• Support Vector Machines and Evolutionary Algorithms.