This book gives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an emphasis on... Læs mere
'What's going to happen next?' Time series data hold the answers. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series... Læs mere
This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and... Læs mere
Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored... Læs mere
Presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an... Læs mere
This text presents a theory of creativity that addresses some of the problems which must be solved to build a creative computer. It also presents an exploration of the goals and plans needed to write simple short stories.
Beginning with a seminal paper by Alan Turing, this volume presents the ideas behind the vision of mentality as computation and some... Læs mere
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial... Læs mere
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics,... Læs mere
This book discusses the newest approach to online learning systems in higher education. As e-learning platforms change their... Læs mere