This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new... Læs mere
This book explores the frontiers and challenges of applying Artificial Intelligence (AI) techniques to Sensor Networks. It covers how sensor... Læs mere
This book helps readers understand the mathematics of machine learning, and apply them in different situations. The book will be of interest to all researchers who intend to use... Læs mere
The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin.
Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial... Læs mere
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.
Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are... Læs mere
P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a... Læs mere