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Data Complexity in Pattern Recognition

Posted on 2010-03-16




Name:Data Complexity in Pattern Recognition
ASIN/ISBN:1846281717
Language:English
File size:5 Mb
Language: English
Publish Date: 2006
Pages: 300 Pages
ISBN: 1846281717
File Type: PDF
File Size: 5 MB
Other Info: Springer-Verlag
   Data Complexity in Pattern Recognition

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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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