Controlling the Generalization Ability of Learning Processes
The theory for controlling the generalization ability of learning machines is devoted to constructing an inductive principle for minimizing the risk functional using a small sample of training instances.
KeywordsGeneralization Ability Minimum Description Length Admissible Function Empirical Risk Asymptotic Rate
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