Sequential design with applictions to the trim-loss problem

Sequential design with applictions to the trim-loss problem

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Article ID: iaor19961642
Country: United Kingdom
Volume: 34
Issue: 3
Start Page Number: 785
End Page Number: 796
Publication Date: Mar 1996
Journal: International Journal of Production Research
Authors: ,
Keywords: trim loss
Abstract:

Recent theoretical extensions of a nonparametric sequential design theory first explored by H. Robbins have made this methodology seemingly attractive to a host of decision and learning problems. This work explores these developments in the context of on-line heuristic rule selection for a trim-loss problem which the authors had previously explored in a more conventional setting. The problem is somewhat delicate, being infinite horizon and nonparametric. In particular, as explained herein, it is outside the domain of conventional Bayesian theory as well as currently-popular learning methodology such as neural networks.

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