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Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping
- Source :
- Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447773, ICANN (1)
- Publication Year :
- 2016
- Publisher :
- Springer International Publishing, 2016.
-
Abstract
- Usually, the solution of the conventional extreme learning machine, which is a type of single-hidden-layer feedforward neural networks, is not sparse.
- Subjects :
- 0209 industrial biotechnology
Computer science
Computer Science::Neural and Evolutionary Computation
Stability (learning theory)
02 engineering and technology
Machine learning
computer.software_genre
020901 industrial engineering & automation
Margin (machine learning)
0202 electrical engineering, electronic engineering, information engineering
Extreme learning machine
Learning classifier system
Quantitative Biology::Neurons and Cognition
business.industry
Pattern recognition
Quadratic classifier
Support vector machine
ComputingMethodologies_PATTERNRECOGNITION
Margin classifier
Feedforward neural network
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Classifier (UML)
Feature learning
Subjects
Details
- ISBN :
- 978-3-319-44777-3
- ISBNs :
- 9783319447773
- Database :
- OpenAIRE
- Journal :
- Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447773, ICANN (1)
- Accession number :
- edsair.doi...........301b819006deb5291d4ff0b35ac1d4c4
- Full Text :
- https://doi.org/10.1007/978-3-319-44778-0_57