Machine Learning for Adaptive Many-Core Machines - A Practical Approach

• Κύριοι συγγραφείς: Lopes, Noel (Συγγραφέας), Ribeiro, Bernardete (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Studies in Big Data, 7
• Θέματα: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Operation Research/Decision Theory.

The overwhelming data produced everyday and the increasing performance and cost requirements of applications is transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve...

Πίνακας περιεχομένων:

• Introduction
• Supervised Learning
• Unsupervised and Semi-supervised Learning
• Large-Scale Machine Learning.