Using ensemble techniques to advance adaptive one-factor-at-a-time experimentation

• Published in: Quality and reliability engineering international Vol. 27; no. 7; pp. 947 - 957
• Main Authors: Sudarsanam, Nandan, Frey, Daniel D.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.11.2011
• Subjects: Adaptive systems; Agglomeration; Algorithms; Arrays; data mining; design of experiments; ensemble methods; Experimentation; Factorials; hierarchical probability models; Running; Wet clutches

Ensemble Methods are proposed as a means to extendbiAdaptive One‐Factor‐at‐a‐Time (aOFAT) experimentation. The proposed method executes multiple aOFAT experiments on the same system with minor differences in experimental setup, such as ‘starting points’. Experimental conclusions are arrived at by ag...