This is a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. The book combines views from classical and non-classical statistics like Bayesian inference and robust statistics.
This book address the link between law enforcement, the uses of and developments in information and communication technologies (ICTs) and key ideas about the management of information, intelligence and knowledge.
This innovative book discusses engineering solutions for the automatic understanding of a complex scene via multi-modal arrays of sensors. It focuses on research dealing with robotic platforms that augment an environment.
This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations.
This book introduces a theory of interpretation. It defines a model that enables a meaningful representation of information, based on a dynamic view of information and a cognitive model of human information processing.
This book presents an overview of the field of language technology for cultural heritage and its associated academic research. It covers applications ranging from pre-processing and data cleaning to the adaptation and compilation of linguistic resources.
The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate students and researchers, it also looks at statistical relational learning.