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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;… Más…
Ho, Tin Kam (Herausgeber); Basu, Mitra (Herausgeber):
Data Complexity in Pattern Recognition - Pasta blanda2010, ISBN: 1849965579
Pasta dura
Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Künstliche Intelligenz, algorithm; algorithms; classification; Clustering; Cognition… Más…
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 … Más…
ISBN: 9781849965576
Springer , pp. 318 . Papeback. New., Springer, 6
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Detalles del libro - Data Complexity in Pattern Recognition
EAN (ISBN-13): 9781849965576
ISBN (ISBN-10): 1849965579
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer London
316 Páginas
Peso: 0,480 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2011-12-17T02:50:20+01:00 (Madrid)
Página de detalles modificada por última vez el 2023-11-16T21:08:21+01:00 (Madrid)
ISBN/EAN: 9781849965576
ISBN - escritura alterna:
1-84996-557-9, 978-1-84996-557-6
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: tin, kam
Título del libro: pattern recognition, complexity
Datos del la editorial
Autor: Mitra Basu; Tin Kam Ho
Título: Advanced Information and Knowledge Processing; Data Complexity in Pattern Recognition
Editorial: Springer; Springer London
300 Páginas
Año de publicación: 2010-10-22
London; GB
Impreso en
Idioma: Inglés
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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