2015 | OriginalPaper | Buchkapitel
Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer
In memory of Alexey Chervonenkis
verfasst von : Vladimir Vapnik, Rauf Izmailov
Erschienen in: Statistical Learning and Data Sciences
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This paper introduces an advanced setting of machine learning problem in which an Intelligent Teacher is involved. During training stage, Intelligent Teacher provides Student with information that contains, along with classification of each example, additional privileged information (explanation) of this example. The paper describes two mechanisms that can be used for significantly accelerating the speed of Student’s training: (1) correction of Student’s concepts of similarity between examples, and (2) direct Teacher-Student knowledge transfer.