Stochastic Finite Learning of the Pattern Languages

作者:Peter Rossmanith, Thomas Zeugmann

摘要

The present paper proposes a new learning model—called stochastic finite learning—and shows the whole class of pattern languages to be learnable within this model.

论文关键词:inductive learning, pattern languages, average-case analysis, learning in the limit, stochastic finite learning

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论文官网地址:https://doi.org/10.1023/A:1010875913047