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Teaching Randomized Learners

机译:教随机学习者

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摘要

The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of various parameters such as the learner's memory size, its ability to provide or to not provide feedback, and the influence of the order in which examples are presented. Furthermore, within the new model it is possible to investigate new aspects of teaching like teaching from positive data only or teaching with inconsistent teachers. Furthermore, we provide characterization theorems for teachability from positive data for both ordinary teachers and inconsistent teachers with and without feedback.
机译:本文介绍了一种教学随机学习者的新模型。我们的新模型虽然基于经典的教学维度模型,却可以研究各种参数的影响,例如学习者的记忆大小,其提供或不提供反馈的能力以及示例顺序的影响。此外,在新模型中,可以研究教学的新方面,例如仅从积极数据中进行教学或与不一致的教师进行教学。此外,我们从正面数据为普通教师和有或没有反馈的不一致教师提供了可教性的表征定理。

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