Machine Learning in Complex Networks

• Κύριοι συγγραφείς: Christiano Silva, Thiago (Συγγραφέας), Zhao, Liang (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Θέματα: Computer science.; Science.; Data mining.; Artificial intelligence.; Pattern recognition.; Physics.; Computational intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Complex Networks.; Science, general.; Data Mining and Knowledge Discovery.; Pattern Recognition.

This book explores the features and advantages offered by complex networks in the domain of machine learning. In the first part of the book, we present an overview on complex networks and machine learning. Then, we provide a comprehensive description on network-based machine learning. In addition, w...

Πίνακας περιεχομένων:

• Introduction
• Complex Networks
• Machine Learning
• Network Construction Techniques
• Network-Based Supervised Learning
• Network-Based Unsupervised Learning
• Network-Based Semi-Supervised Learning
• Case Study of Network-Based Supervised Learning: High-Level Data Classification
• Case Study of Network-Based Unsupervised Learning: Stochastic Competitive Learning in Networks
• Case Study of Network-Based Semi-Supervised Learning: Stochastic Competitive-Cooperative Learning in Networks.