Last Updated：2025/12/03
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学習アルゴリズムを設計する際、研究者はしばしば確率分布に対する実数値関数クラスの豊富さの尺度を推定して、その表現力や一般化性能を理解しようとする。
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When designing learning algorithms, researchers often estimate the Rademacher complexity of a hypothesis class to understand its capacity and generalization behavior.
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When designing learning algorithms, researchers often estimate the Rademacher complexity of a hypothesis class to understand its capacity and generalization behavior.
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Rademacher complexity
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