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