Empirical Approach to Machine Learning

Lingua: inglese

Editore: Palgrave Macmillan, 2018

3030023834 / 9783030023836

Serie: Libro 310 di 538 - Studies in Computational Intelligence

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Condizione: Nuovo

EUR 206,69

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Descrizione dell’articolo da parte del venditore

nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today's data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. Itcan also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the code.Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: 'The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing.'Paul J. Werbos, Inventor of the back-propagation method, USA: 'I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain.'Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: 'This new book will set up a milestone for the modern intelligent systems.'Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: 'Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations.'.…

Codice articolo 9783030023836

Titolo
Empirical Approach to Machine Learning
Autore
Plamen P. Angelov
Editore
Palgrave Macmillan
Anno di pubblicazione
2018
Condizione
Neu
Rilegatura
Buch
Lingua
inglese
ISBN 10
3030023834
ISBN 13
9783030023836
Peso dell'articolo
794 grammi
Dimensioni
241x160x30 mm
Serie
Libro 310 di 538: Studies in Computational Intelligence

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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