Back to Search
Start Over
A survey of multiple classifier systems as hybrid systems
- Source :
- Information Fusion. 16:3-17
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- A current focus of intense research in pattern classification is the combination of several classifier systems, which can be built following either the same or different models and/or datasets building approaches. These systems perform information fusion of classification decisions at different levels overcoming limitations of traditional approaches based on single classifiers. This paper presents an up-to-date survey on multiple classifier system (MCS) from the point of view of Hybrid Intelligent Systems. The article discusses major issues, such as diversity and decision fusion methods, providing a vision of the spectrum of applications that are currently being developed.
- Subjects :
- Computer science
business.industry
Intelligent decision support system
Quadratic classifier
Machine learning
computer.software_genre
Multiple classifier
Information fusion
Hardware and Architecture
Hybrid system
Signal Processing
Margin classifier
Decision fusion
Data mining
Artificial intelligence
business
computer
Classifier (UML)
Software
Information Systems
Subjects
Details
- ISSN :
- 15662535
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Information Fusion
- Accession number :
- edsair.doi...........6882b5ac2d66b32c71ffc49e1f884224