TY  - BOOK
AU  - Christiano Silva,Thiago
AU  - Zhao,Liang
TI  - Machine learning in complex networks
SN  - 9783319172897
U1  - 006.31 23
PY  - 2016///
CY  - Cham : 
PB  - Springer
KW  - Machine learning
N1  - Includes bibliographical references and index; 1. Introduction --
2. Complex Networks --
3. Machine Learning --
4. Network Construction Techniques --
5. Network-Based Supervised Learning --
6. Network-Based Unsupervised Learning --
7. Network-Based Semi-Supervised Learning --
8. Case Study of Network-Based Supervised Learning: High-Level Data Classification --
9. Case Study of Network-Based Unsupervised Learning: Stochastic Competitive Learning in Networks --
10. Case Study of Network-Based Semi-Supervised Learning: Stochastic Competitive-Cooperative Learning in Networks
N2  - This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA
ER  -