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

Data Complexity in Pattern Recognition - Livro de bolso

2010, ISBN: 1849965579

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

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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 - Livro de bolso

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… mais…

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Data Complexity in Pattern Recognition
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Data Complexity in Pattern Recognition - Livro de bolso

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 … mais…

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

2010, ISBN: 1849965579

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Data Complexity in Pattern Recognition - nuovo livro

ISBN: 9781849965576

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

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Data Complexity in Pattern Recognition
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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.

Dados detalhados do livro - Data Complexity in Pattern Recognition


EAN (ISBN-13): 9781849965576
ISBN (ISBN-10): 1849965579
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer London
316 Páginas
Peso: 0,480 kg
Língua: eng/Englisch

Livro na base de dados desde 2011-12-16T23:50:20-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-11-16T17:08:21-03:00 (Sao Paulo)
Número ISBN/EAN: 9781849965576

Número ISBN - Ortografia alternativa:
1-84996-557-9, 978-1-84996-557-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: tin, kam
Título do livro: pattern recognition, complexity

Dados da editora

Autor: Mitra Basu; Tin Kam Ho
Título: Advanced Information and Knowledge Processing; Data Complexity in Pattern Recognition
Editora: Springer; Springer London
300 Páginas
Ano de publicação: 2010-10-22
London; GB
Impresso / Feito em
Língua: Inglês
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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