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Technical Data Complexity in Pattern Recognition | Ebook Share
Posted on 2010-03-15
|  |
Publisher: Springer
Language: English ISBN: 1846281717 Paperback:?300 pages Data: Sep 2006 Format: PDF Description: Machines capable of automatic pattern recognition have many fascinating uses in science & 038; 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 & 038; its role in shaping the theories & 038; techniques in different disciplines & 038; 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 & 038; multidisciplinary approach from various methodological & 038; practical perspectives, researchers & 038; practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.
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