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Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing) - Livres de poche
2010, ISBN: 1849965579
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2010, ISBN: 1849965579
[EAN: 9781849965576], New book, [PU: Springer London], ALGORITHM; ALGORITHMS; CLASSIFICATION; CLUSTERING; COGNITION; EVOLUTION; GRAPH; HUMAN-COMPUTERINTERACTION(HCI); KNOWLEDGE; LEARNING;… Plus…
Ho, Tin Kam (Herausgeber); Basu, Mitra (Herausgeber):
Data Complexity in Pattern Recognition - Livres de poche2010, ISBN: 1849965579
Edition reliée
Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Künstliche Intelligenz, algorithm; algorithms; classification; Clustering; Cognition… Plus…
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 … Plus…
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing) - Livres de poche
2010, ISBN: 1849965579
[EAN: 9781849965576], Neubuch, [PU: Springer], Clean and crisp and new!, Books
ISBN: 9781849965576
Springer , pp. 318 . Papeback. New., Springer, 6
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Informations détaillées sur le livre - Data Complexity in Pattern Recognition
EAN (ISBN-13): 9781849965576
ISBN (ISBN-10): 1849965579
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer London
316 Pages
Poids: 0,480 kg
Langue: eng/Englisch
Livre dans la base de données depuis 2011-12-17T02:50:20+01:00 (Paris)
Page de détail modifiée en dernier sur 2023-11-16T21:08:21+01:00 (Paris)
ISBN/EAN: 1849965579
ISBN - Autres types d'écriture:
1-84996-557-9, 978-1-84996-557-6
Autres types d'écriture et termes associés:
Auteur du livre: tin, kam
Titre du livre: pattern recognition, complexity
Données de l'éditeur
Auteur: Mitra Basu; Tin Kam Ho
Titre: Advanced Information and Knowledge Processing; Data Complexity in Pattern Recognition
Editeur: Springer; Springer London
300 Pages
Date de parution: 2010-10-22
London; GB
Imprimé / Fabriqué en
Langue: Anglais
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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