Machine Learning in Complex Networks
Even though with relevant practical importance,little research is found about this topic in the literature. In order to validate these techniques, we employ broadly accepted real-world and artificial data sets. Regarding network-based supervised learning, we present a hybrid data classification tech...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2016, 2016
|
| Edition: | 1st ed. 2016 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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