Emerging Paradigms in Machine Learning
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Ramanna, Sheela (Editor), Jain, Lakhmi C. (Editor), Howlett, Robert J. (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
| Series: | Smart Innovation, Systems and Technologies,
13 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization /
by: Sotiropoulos, Dionisios N., et al.
Published: (2017) -
Machine Learning Paradigms Applications in Recommender Systems /
by: Lampropoulos, Aristomenis S., et al.
Published: (2015) -
E-Learning Paradigms and Applications Agent-based Approach /
Published: (2014) -
Soft Computing in Machine Learning
Published: (2014) -
Ensembles in Machine Learning Applications
Published: (2011)