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Inductive inference from noisy examples using the hybrid finite state filter

M Gori, M Maggini, E Martinelli

    IEEE Transactions on Neural Networks
    |February 7, 2008
    PubMed
    Summary

    This study introduces a hybrid finite state filter (HFF) to train adaptive neural parsers for inferring language grammars from noisy data. The HFF algorithm effectively captures grammatical rules while filtering out noise, demonstrating promising results in inductive inference.

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