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On Teaching and Learning Intersection-Closed Concept Classes

机译:交叉口封闭概念课的教与学

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We consider the self-directed learning model[7] which is a variant of littlestone's mistake-bound model[9,10]. We will refute the conjecture of [8,2] that for intersection-closed concept classes, the self-directed learning complexity is related to the VC-idmension. We show that, wven under the assumption of intersection-closedness, both parameters are completerly incomparable. We furthermore investigate the structure of intersection-closed concept classes whichare difficult ot learn in the self-directed learning model. We show that such classes must contain mazimum classes.
机译:我们考虑了自我导向的学习模型[7],它是Littlestone的错误约束模型[9,10]的一种变体。我们将驳斥[8,2]的猜想,即对于相交封闭的概念类,自主学习的复杂性与VC维度有关。我们证明,即使在交叉封闭的假设下,这两个参数是完全不可比的。我们还研究了在自指导学习模型中难以学习的交叉封闭概念类的结构。我们证明了此类必须包含mazimum类。

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