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Robustness in Statistical Pattern Recognition - pocketboek

2010

ISBN: 9789048147601

This book is concerned with important problems of robust (stable) statistical pat tern recognition when hypothetical model assumptions about experimental data are violated (disturbed). Pa… Meer...

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2010, ISBN: 9048147603

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Robustness in Statistical Pattern Recognition

This monograph is devoted to problems of robust (stable) statistical pattern recognition. Experimental data to be classified usually deviate from assumed hypothetical probability models of the data. In such cases traditional decision rules constructed by means of the classical pattern recognition theory based on a fixed hypothetical model of the data often become non-stable, and the classification risk increases non-controllably. The book concentrates on three main problems: robustness evaluation for classical decision rules in the presence of distortion; estimation of critical levels of distortions for given values of the robustness factor; and the construction of robust decision rules with stable classification risk regarding certain types of distortions. Theoretical results are illustrated by computer modelling and by application to medical diagnostics. Audience: This volume is primarily intended for mathematicians, statisticians, and engineers in applied mathematics, computer science and cybernetics. It is also recommended as a textbook for a one-semester course for advanced undergraduate and graduate students training in the indicated fields.

Gedetalleerde informatie over het boek. - Robustness in Statistical Pattern Recognition


EAN (ISBN-13): 9789048147601
ISBN (ISBN-10): 9048147603
Gebonden uitgave
pocket book
Verschijningsjaar: 2010
Uitgever: Springer Netherlands Core >1
320 Bladzijden
Gewicht: 0,485 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2012-10-31T03:48:27+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2021-12-04T12:31:28+01:00 (Amsterdam)
ISBN/EAN: 9789048147601

ISBN - alternatieve schrijfwijzen:
90-481-4760-3, 978-90-481-4760-1


Gegevens van de uitgever

Auteur: Y. Kharin
Titel: Mathematics and Its Applications; Robustness in Statistical Pattern Recognition
Uitgeverij: Springer; Springer Netherland
302 Bladzijden
Verschijningsjaar: 2010-12-15
Dordrecht; NL
Gedrukt / Gemaakt in
Gewicht: 0,842 kg
Taal: Engels
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
POD

BC; Previously published in hardcover; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; classification; cluster analysis; cognition; control; cybernetics; mathematics; modeling; pattern recognition; B; Statistics, general; Applications of Mathematics; Artificial Intelligence; Signal, Image and Speech Processing; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics; Applications of Mathematics; Artificial Intelligence; Signal, Speech and Image Processing; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Mathematics and Statistics; Angewandte Mathematik; Künstliche Intelligenz; Bilderfassungssysteme und -technologie; Digitale Signalverarbeitung (DSP); Wahrscheinlichkeitsrechnung und Statistik; BB

Preface. 1. Probability Models of Data and Optimal Decision Rules. 2. Violations of Model Assumptions and Basic Notions in Decision Rule Robustness. 3. Robustness of Parametric Decision Rules and Small-Sample Effects. 4. Robustness of Nonparametric Decision Rules and Small-Sample Effects. 5. Decision Rule Robustness under Distortions of Observations to be Classified. 6. Decision Rule Robustness under Distortions of Training Samples. 7. Cluster Analysis under Distorted Model Assumptions. Bibliography. Index. Main Notations and Abbreviations.

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