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Data Complexity in Pattern Recognition -

Data Complexity in Pattern Recognition

Mitra Basu, Tin Kam Ho (Herausgeber)

Buch | Softcover
300 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2006
Springer London Ltd (Verlag)
978-1-84996-557-6 (ISBN)
CHF 247,15 inkl. MwSt
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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.

Theory and Methodology.- Measures of Geometrical Complexity in Classification Problems.- Object Representation, Sample Size, and Data Set Complexity.- Measures of Data and Classifier Complexity and the Training Sample Size.- Linear Separability in Descent Procedures for Linear Classifiers.- Data Complexity, Margin-Based Learning, and Popper’s Philosophy of Inductive Learning.- Data Complexity and Evolutionary Learning.- Classifier Domains of Competence in Data Complexity Space.- Data Complexity Issues in Grammatical Inference.- Applications.- Simple Statistics for Complex Feature Spaces.- Polynomial Time Complexity Graph Distance Computation for Web Content Mining.- Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles.- Complexity of Magnetic Resonance Spectrum Classification.- Data Complexity in Tropical Cyclone Positioning and Classification.- Human-Computer Interaction for Complex Pattern Recognition Problems.- Complex Image Recognition and Web Security.

Erscheint lt. Verlag 22.10.2010
Reihe/Serie Advanced Information and Knowledge Processing
Zusatzinfo XVI, 300 p.
Verlagsort England
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-84996-557-9 / 1849965579
ISBN-13 978-1-84996-557-6 / 9781849965576
Zustand Neuware
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