Prediction of Generalization Ability in Learning Machines
UR Research (University of Rochester)Published 1 January 1994
Corinna Cortes
Citations45
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TL;DR
The main goal of the dissertation is to merge theory and practice: to develop theoretically based, but experimentally adapted tools that allow an accurate prediction of the generalization error of an arbitrarily complex classifier.
Abstract
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1995. Simultaneously published in the Technical Report series.
Keywords
Computer Science