TY - JOUR
T1 - Decision support system for scheduling a Flexible Flow System
T2 - Incorporation of feature construction
AU - Piramuthu, Selwyn
AU - Raman, Narayan
AU - Shaw, Michael J.
PY - 1998
Y1 - 1998
N2 - We study the problem of scheduling a Flexible Flow System (FFS) while utilizing machine learning techniques. Specifically, the effect of incorporating Feature Construction in an existing adaptive learning-based decision support system is investigated. The primary purpose of constructing features is to increase the efficiency of obtaining information from available data by using new features in addition to the initial set of features. There is a need to obtain information effectively while scheduling an FFS. The incorporation of feature construction in such a framework is thus beneficial, which is documented in our preliminary results.
AB - We study the problem of scheduling a Flexible Flow System (FFS) while utilizing machine learning techniques. Specifically, the effect of incorporating Feature Construction in an existing adaptive learning-based decision support system is investigated. The primary purpose of constructing features is to increase the efficiency of obtaining information from available data by using new features in addition to the initial set of features. There is a need to obtain information effectively while scheduling an FFS. The incorporation of feature construction in such a framework is thus beneficial, which is documented in our preliminary results.
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U2 - 10.1023/a:1018902200919
DO - 10.1023/a:1018902200919
M3 - Article
AN - SCOPUS:0032384259
SN - 0254-5330
VL - 78
SP - 219
EP - 234
JO - Annals of Operations Research
JF - Annals of Operations Research
ER -