Data Complexity in Pattern Recognition

300 Seiten, Hardcover

Kurzbeschreibung des Verlags

Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability.

This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:

What is missing from current classification techniques?

When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task?

How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data?

Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.

• Reihe: Advanced Information and Knowledge Processing
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Mustererkennung
• ISBN: 9781846281716
• Sprache: Englisch
• Erscheinungsdatum: 17.10.2006
• Größe: 23.5 x 15.6 cm
• Verlag: Springer London
• Herausgegeben von: Mitra Basu, Tin Kam Ho