Back to Search
Start Over
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
- Source :
- IEEE Transactions on Systems, Man & Cybernetics. Systems; Oct2017, Vol. 47 Issue 10, p2625-2626, 2p
- Publication Year :
- 2017
-
Abstract
- With the exponential growth of data and complexity of systems, fast machine learning/artificial intelligence and computational intelligence techniques are highly required. Many conventional computational intelligence techniques face bottlenecks in learning (e.g., intensive human intervention and convergence time) [item 1) in the Appendix]. However, efficient learning algorithms alternatively offer significant benefits including fast learning speed, ease of implementation, and minimal human intervention. The need for efficient and fast implementation of machine learning techniques in big data and dynamic varying systems poses many research challenges. This special issue highlights some latest development in the related areas. [ABSTRACT FROM AUTHOR]
- Subjects :
- DYNAMICS
MACHINE learning
BIG data
Subjects
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 47
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 125206993
- Full Text :
- https://doi.org/10.1109/TSMC.2017.2741558