DocumentCode
420950
Title
Machine learning - the Six Sigma way
Author
Zhang, Qianli ; Gao, Ji
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2004
fDate
15-19 June 2004
Firstpage
1873
Abstract
Six Sigma is the best practice of industry quality management. We adopt Six Sigma to improve Machine Learning process from an engineering perspective. This paper describes the application of the Six Sigma DMAIC (define, measure, analyse, improve and control) methodology by taking the example of a project, and demonstrates the benefits attained.
Keywords
control charts; learning (artificial intelligence); six sigma (quality); control charts; industry quality management; machine learning process; six sigma; Application software; Best practices; Computer industry; Computer science; Educational institutions; Machine learning; Pain; Quality management; Six sigma; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1341903
Filename
1341903
Link To Document