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Data Complexity in Pattern Recognition - Tin Kam Ho
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Tin Kam Ho:

Data Complexity in Pattern Recognition - Paperback

2010, ISBN: 1849965579

[EAN: 9781849965576], New book, [PU: Springer London], ALGORITHM; ALGORITHMS; CLASSIFICATION; CLUSTERING; COGNITION; EVOLUTION; GRAPH; HUMAN-COMPUTERINTERACTION(HCI); KNOWLEDGE; LEARNING;… More...

NEW BOOK. Shipping costs: EUR 36.70 AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (of 5)]
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Data Complexity in Pattern Recognition - Ho, Tin Kam (Herausgeber); Basu, Mitra (Herausgeber)
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Ho, Tin Kam (Herausgeber); Basu, Mitra (Herausgeber):

Data Complexity in Pattern Recognition - Paperback

2010, ISBN: 1849965579

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Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Künstliche Intelligenz, algorithm; algorithms; classification; Clustering; Cognition… More...

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Data Complexity in Pattern Recognition
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Data Complexity in Pattern Recognition - Paperback

2006

ISBN: 9781849965576

*Data Complexity in Pattern Recognition* - Softcover reprint of hardcover 1st ed. 2006 / Taschenbuch für 160.49 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher … More...

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Basu, Mitra:
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing) - Paperback

2010, ISBN: 1849965579

[EAN: 9781849965576], Neubuch, [PU: Springer], Clean and crisp and new!, Books

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Data Complexity in Pattern Recognition - new book

ISBN: 9781849965576

Springer , pp. 318 . Papeback. New., Springer, 6

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Details of the book
Data Complexity in Pattern Recognition
Author:
Title:
ISBN:

9781849965576


Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Details of the book - Data Complexity in Pattern Recognition


EAN (ISBN-13): 9781849965576
ISBN (ISBN-10): 1849965579
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer London
316 Pages
Weight: 0,480 kg
Language: eng/Englisch

Book in our database since 2011-12-16T20:50:20-05:00 (New York)
Detail page last modified on 2023-11-16T15:08:21-05:00 (New York)
ISBN/EAN: 9781849965576

ISBN - alternate spelling:
1-84996-557-9, 978-1-84996-557-6
Alternate spelling and related search-keywords:
Book author: tin, kam
Book title: pattern recognition, complexity

Information from Publisher

Author: Mitra Basu; Tin Kam Ho
Title: Advanced Information and Knowledge Processing; Data Complexity in Pattern Recognition
Publisher: Springer; Springer London
300 Pages
Publishing year: 2010-10-22
London; GB
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 300 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; algorithm; algorithms; classification; clustering; cognition; complexity; evolution; graph; human-computer interaction (HCI); knowledge; learning; neural networks; pattern; pattern recognition; philosophy; algorithm analysis and problem complexity; Automated Pattern Recognition; Artificial Intelligence; Algorithms; Künstliche Intelligenz; Algorithmen und Datenstrukturen; BB; EA; BA

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.
Shows how to appreciate the presence and nature of patterns in specific problems Helps the reader set proper expectations for classification performance Offers guidance on choosing the best pattern recognition classification techniques Interdisciplinary coverage helps the reader absorb and apply useful developments in diverse fields: Engineering, Computer Science, Social Sciences and Finance

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