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Teaching Learners with Restricted Mind Changes

机译:限制思想变化的教学者

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摘要

Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses. The complexity of teaching is then measured by the maximum number of mistakes a consistent learner can make until successful learning. This is equivalent to the so-called teaching dimension. However, many interesting concept classes have an exponential teaching dimension and it is only meaningful to consider the teachability of finite concept classes. A refined approach of teaching is proposed by introducing a neighborhood relation over all possible hypotheses. The learners are then restricted to choose a new hypothesis from the neighborhood of their current one. Teachers are either required to teach finitely or in the limit. Moreover, the variant that the teacher receives the current hypothesis of the learner as feedback is considered. The new models axe compared to existing ones and to one another in dependence of the neighborhood relations given. In particular, it is shown that feedback can be very helpful. Moreover, within the new model one can also study the teachability of infinite concept classes with potentially infinite concepts such as languages. Finally, it is shown that in our model teachability and learnability can be rather different.
机译:在学习理论中,已经以各种方式研究了教学。在一个常见的变体中,老师必须教所有仅限于输出一致假设的学习者。然后,通过一个一致的学习者在成功学习之前可以犯的最大错误数来衡量教学的复杂性。这等效于所谓的教学维度。但是,许多有趣的概念类具有指数的教学范围,仅考虑有限概念类的可教性才有意义。通过对所有可能的假设引入邻域关系,提出了一种改进的教学方法。然后,限制学习者从其当前假设的附近选择新的假设。要求教师有限地授课或限制授课。此外,还考虑了教师接收学生的当前假设作为反馈的变体。新模型与现有模型进行了比较,并根据给定的邻域关系进行了比较。特别是,表明反馈可以非常有帮助。此外,在新模型中,还可以研究具有潜在无限概念(例如语言)的无限概念类的可教性。最后,结果表明,在我们的模型中,可教性和可学习性可能存在很大差异。

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