Title :
Machine learning - the Six Sigma way
Author :
Zhang, Qianli ; Gao, Ji
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341903
