Advances in Machine Learning and Deep Neural Networks
Rama Chellappa, Sergios Theodoridis, André van Schaik
Abstract
We are currently experiencing the dawn of what is known as the fourth industrial revolution. At the center of this historical happening, as one of the key enabling technologies, lies a discipline that deals with data and whose goal is to extract information and related knowledge that is hidden in it, in order to make predictions and, subsequently, take decisions. Machine learning (ML) is the name that is used as an umbrella to cover a wide range of theories, methods, algorithms, and architectures that are used to this end. The articles in this special issue cover promising developments in the related areas of machine learning and deep neural networks and offers possible paths for the future.