Learning with Intelligent Teacher.
COPA(2016)
摘要
The paper considers several topics on learning with privileged information: 1 general machine learning models, where privileged information is positioned as the main mechanism to improve their convergence properties, 2 existing and novel approaches to leverage that privileged information, 3 algorithmic realization of one of these namely, knowledge transfer approaches, and its performance characteristics, illustrated on simple synthetic examples.
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关键词
Intelligent teacher, Privileged information, Similarity control, Knowledge transfer, Knowledge representation, Frames, Support vector machines, SVM+, Classification, Learning theory, Kernel functions, Regression
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