DocumentCode :
253490
Title :
General regression in cloud computing
Author :
Bobak, Martin ; Hluchy, Ladislav ; Tran, Van-Long
Author_Institution :
Inst. of Inf., Bratislava, Slovakia
fYear :
2014
fDate :
3-5 July 2014
Firstpage :
79
Lastpage :
82
Abstract :
Regression is one of the approach/technology of machine learning. This technology is used in a situation where we want to estimate from input parameters the scalar quantity. In practice we often face with situation where due to deficient computing resources, we are not able to train required function (in sense the minimum error). This phenomenon can cause a various factors (e.g. large number of training data, high degree of training function ...). An interesting question is: how helpful is cloud computing in this situation.
Keywords :
cloud computing; learning (artificial intelligence); parameter estimation; regression analysis; cloud computing; deficient computing resources; general regression; input parameter estimation; machine learning; scalar quantity; Cloud computing; Complexity theory; Linear regression; Mathematical model; Operating systems; Training; Virtualization; cloud computing; machine learning; regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2014 18th International Conference on
Conference_Location :
Tihany
Type :
conf
DOI :
10.1109/INES.2014.6909380
Filename :
6909380
Link To Document :
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