Book of Donmon Teith

Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields.

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions

A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly al

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It of