Computer science/Machine learning

No-free-lunch theorem for machine learning

by Michikazu Hirata

The Sigmoid Function and the Universal Approximation Theorem

by Dustin Bryant, Jim Woodcock and Simon Foster

Some classical results in inductive inference of recursive functions

by Frank J. Balbach

Expressiveness of Deep Learning

by Alexander Bentkamp