ABSTRACT
The purpose of this chapter is to present learning theory from the point of view of fundamental problems of mathematical statistics. It is shown that estimation of a probability measure serves as a basis for any kind of learning procedure; thus, the learning methods rely on general inductive principles of measure estimation.
