Adaptive Formation of Optimal Associative Mappings

Abstract

The idea of machine learning was originally based on the application of variable elements which change their parametric values by the signals they transmit; later, learning processes have been discussed on a more abstract algorithmic level, and mathematical statistics has become the general setting of these problems. Nevertheless, in its genuine form machine learning is a physical process.