Teaching Randomized Learners
Teaching Randomized Learners
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DOI：
10.1007/11776420_19
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发表时间：
2006-06
期刊：
影响因子：
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通讯作者：
F. Balbach;T. Zeugmann
中科院分区：
文献类型：
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作者：
F. Balbach;T. Zeugmann
本文介绍了一种新的随机学习者教学模型。我们的新模型，虽然基于经典的教学维度模型，允许研究各种参数的影响，如学习者的内存大小，它的能力，提供或不提供反馈，并在其中的例子提出的顺序的影响。此外，在新的模型中，它是可能的教学，如教学从积极的数据，只有或教学与不一致的teachers.Further，我们提供的可教性的表征定理，从积极的数据，普通教师和不一致的教师，有和没有反馈。
The present paper introduces a new model for teachingrandomized 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.