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<p>For a specially designed training sample, it is necessary to generate a set of hypotheses larger than <i>r</i> = (<i>m</i> – 1)/8ε, so the probabilistic–combinatorial formal (VKF) learning method has the I-type error lesser than ε on <i>m</i> test cases.</p>

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On the I-Type Error for the Probabilistic–Combinatorial Formal (VKF) Learning Method

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • D. V. Vinogradov

摘要

For a specially designed training sample, it is necessary to generate a set of hypotheses larger than r = (m – 1)/8ε, so the probabilistic–combinatorial formal (VKF) learning method has the I-type error lesser than ε on m test cases.