Parallel online sequential extreme learning machine based on MapReduce

In this age of big data, analyzing big data is a very challenging problem. MapReduce is a simple, scalable and fault-tolerant data processing framework that enables us to process a massive volume of data. Many machine learning algorithms have been designed based on MapReduce, but there are only a fe...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 149; S. 224 - 232
Hauptverfasser:	Wang, Botao, Huang, Shan, Qiu, Junhao, Liu, Yu, Wang, Guoren
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 03.02.2015
Schlagworte:	Algorithms Data processing Distance learning Extreme learning machine Fault tolerance Large scale learning Learning Machine learning Mapreduce Mathematical analysis Neural networks Online sequential learning Parallel classification Training Parallel classification Online sequential learning Mapreduce Extreme learning machine Large scale learning
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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