Projection learning models

This paper proposes a learning framework based on projection. Essentially, the learning framework exploits the advantages of linear learning paradigms for regression and classification applications. By incorporating appropriate nonlinear basis or embedding functions, the projection learning framework can be applied to learn arbitrary functions. Several preliminary case studies are provided to evident the behavior of a few specific projection models.