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Generalization and generalizability measures

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1 Author(s)
Wah, B. ; Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

Defines the generalization problem, summarizes various approaches in generalization, identifies the credit assignment problem, and presents the problem and some solutions in measuring generalizability. We discuss anomalies in the ordering of hypotheses in a subdomain when performance is normalized and averaged, and show conditions under which anomalies can be eliminated. To generalize performance across subdomains, we present a measure called “probability of win” which measures the probability that one hypothesis is better than another. Finally, we discuss some limitations in using probabilities of win, and we illustrate their application in finding new parameter values for TimberWolf, a package for VLSI cell placement and routing

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:11 ,  Issue: 1 )

Date of Publication:

Jan/Feb 1999

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