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Learning using privileged information (LUPI) paradigm, which pioneeredteacher-student interaction mechanism, makes the learning models use additionalinformation in training stage. This paper is the first to propose anincremental learning algorithm with LUPI paradigm for stochastic configurationnetwork (SCN), named SCN+. This novel algorithm can leverage privilegedinformation into SCN in the training stage, which provides a new method totrain SCN. Moreover, the convergences have been studied in this paper. Finally,experimental results indicate that SCN+ indeed performs favorably.

A New Learning Paradigm for Stochastic Configuration Network: SCN+