Algorithmic inference in machine learning

The book offers a new theoretical framework for modern statistical inference problems, generally referred to as learning problems. They arise in connection with hard operational problems to be solved in the lack of all necessary knowledge. The success of their solutions lies in a suitable mix of computational skill in processing the available data and sophisticated attitude in stating logical relations between their properties and the expected behavior of candidate solutions. The framework is discussed through rigorous mathematical statements in the province of probability theory. But this…