Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

Description

Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

Publisher: Springer
Number Of Pages: 300
Publication Date: 2006-09-15
Sales Rank: 1525093
ISBN / ASIN: 1846281717
EAN: 9781846281716
Binding: Hardcover
Manufacturer: Springer
Studio: Springer

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.

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