论文信息 - Design principles for inductive inference procedures

Design principles for inductive inference procedures

The behavior of inductive inference procedures depending on the content of a learning sample is analyzed. It is shown that if a learning sample contains no information on some class of objects or statistical information on a priori probabilities of classes, then any procedure performs unpredictably badly and its error is strictly positive.

I. V. Sergienko | A. M. Gupal

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