目标学习函数形成不确定性下强化假设集合的选择

Digital Transformation Pub Date : 2023-02-01 DOI:10.35596/1729-7648-2022-28-4-12-17

А. Ф. Чернявский, Е. И. Козлова, Alexander F. Chernyavsky, Alena I. Kazlova

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引用次数: 0

摘要

．传统上，智能学习系统由三个主要部分组成:学生模型，它是一个包含学生信息的块;一个学习过程的模型，它设定了向学生展示信息的形式和学生活动的质量评估类型;模型接口作为智能学习系统的专家块与组合中其他学习算法之间的纽带

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Options for Strengthening the Ensemble of Hypotheses under Uncertainty of the Objective Learning Function Formation

. Intelligent learning systems traditionally consist of three main components: a student model, which is a block with information about the student; a model of the learning process that sets the form for present - ing information to the student and the type of quality assessment of the student’s activity; the model interface as a link between the expert block of the intelligent learning system and other learning algorithms in the compo -

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Digital Transformation

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