Comparison between multi-class classifiers and deep learning with focus on industry 4.0

2016 Cybernetics and Informatics, K and I 2016 - Proceedings of the 28th International Conference

Volumn , Issue , 2016, Pages

  Miškuf, Martin ^a   Zolotová, Iveta ^a  

^a TECHNICAL UNIVERSITY OF KO ICE   (Slovakia)

Author keywords

Big data; Data mining; Deep learning; H2O machine learning; Industry 4.0; Microsoft Azure; multi class classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; CLASSIFIERS; CYBERNETICS; DATA MINING; INFORMATION SCIENCE; LEARNING SYSTEMS; WINDOWS OPERATING SYSTEM;

CLOUD ARCHITECTURES; DEEP LEARNING; INDUSTRIAL ENVIRONMENTS; INDUSTRIAL SYSTEMS; MACHINE LEARNING RESEARCH; MICROSOFT; MULTI-CLASS CLASSIFICATION; MULTI-CLASS CLASSIFIER;

CLASSIFICATION (OF INFORMATION);

EID: 84969922060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CYBERI.2016.7438633     Document Type: Conference Paper

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