Learning using hidden information (Learning with teacher)
Vladimir N. Vapnik, Akshay Vashist, Natalya Pavlovitch · 2009
In this paper we consider a new paradigm of learning: learning using hidden information. The classical paradigm of the supervised learning is to learn a decision rule from labeled data (xi, yi), xiisin X, yiisin {-1, 1}, i = 1,hellip, lscr. In this paper we consider a new setting: given training vectors in space X along with labels and description of this data in another space X*, find in space X a decision rule better than the one found in the classical paradigm.