This book deals with a case: the elucidation of the intricate and detailed patterns of the human face using the tools of 'pattern theory', of statistical... Læs mere
The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.
The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development,... Læs mere
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several... Læs mere
Describes the use of machine learning techniques to build predictive models of... Læs mere
On-line learning is one of the most commonly used techniques for training large layered networks. Traditional methods have been recently complemented by ones from... Læs mere
This is a self contained volume in which the authors concentrate on the 'probably approximately correct model'. It will therefore form an introduction to the theory of... Læs mere
Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical... Læs mere
Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored... Læs mere