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Masayuki Otani

ورقة واحدة في مجموعة PaperMetrix

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  1. Formally Explaining Decision Tree Models with Answer Set Programming

    2026 · Electronic Proceedings in Theoretical Computer Science

    Decision tree models, including random forests and gradient-boosted decision trees, are widely used in machine learning due to their high predictive performance. However, their complex structures often make them difficult to interpret, especially in safety-critical …