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

Machine Learning