Seller: Ammareal, Morangis, France
£ 9.48
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Add to basketSoftcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Petite(s) trace(s) de pliure sur la couverture. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Slightly creased cover. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations.
Published by Elsevier Science Ltd, 1991
ISBN 10: 0444887407 ISBN 13: 9780444887405
Language: English
Seller: Buchpark, Trebbin, Germany
£ 9.47
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 286 | Sprache: Englisch | Produktart: Bücher.
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Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
£ 23.79
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Add to basketCondition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642121586 ISBN 13: 9783642121586
Language: English
Seller: Buchpark, Trebbin, Germany
£ 33.39
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 43.49
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 50.81
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Books From California, Simi Valley, CA, U.S.A.
£ 42.50
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Add to basketpaperback. Condition: Very Good.
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Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 56.02
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Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
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Seller: Leopolis, Kraków, Poland
£ 57.76
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Add to basketSoft cover. Condition: As New. 8vo (22.5 cm), XIV, 271 pp. Laminated wrappers. The book explores the intriguing interplay between two prominent fields in the realm of machine learning and data analysis. This thought-provoking book delves into the historical development and the modern-day synergies between artificial neural networks (ANNs) and statistical pattern recognition (SPR), shedding light on their shared roots and divergent paths. By examining the historical context, readers gain a comprehensive understanding of how ANNs and SPR have evolved independently over time. The book traces their origins, from the early perceptron models and foundational statistical techniques to the emergence of deep learning and advanced probabilistic models. Through this historical lens, it becomes evident that ANNs and SPR have followed distinct trajectories, with ANNs prioritizing flexible, connectionist approaches, and SPR emphasizing probabilistic modeling and statistical inference. However, the book goes beyond mere historical analysis and illuminates the contemporary convergence of ANNs and SPR. It explores how recent developments in both fields have led to a remarkable convergence, creating new avenues for collaboration and synergy. The advent of deep learning, which combines ANN architectures with large-scale data and computational power, has revolutionized both ANNs and SPR, unlocking new possibilities for pattern recognition, data analysis, and decision-making.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 69.04
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Published by Our Knowledge Publishing, 2023
ISBN 10: 620588691X ISBN 13: 9786205886915
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
£ 67.96
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Published by Our Knowledge Publishing, 2023
ISBN 10: 620602282X ISBN 13: 9786206022824
Language: English
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: New. New. book.
Published by World Scientific Publishing Company, 1992
ISBN 10: 9810210140 ISBN 13: 9789810210144
Language: English
Seller: dsmbooks, Liverpool, United Kingdom
Hardcover. Condition: Very Good. Very Good. book.
Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659333654 ISBN 13: 9783659333651
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 35.18
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to provide invaluable aid to medical professionals in this area of diagnostic medicine. Toward this end, Artificial Neural Networks (ANNs) are often relied upon in the field of machine learning, because of their ability to distill representative feature components from large amounts of input data. This paper details an approach in which the scatterplots of cells that were produced by a hematological device were used as inputs. The data were separated into two classes, one containing clinically Normal samples, and the second containing abnormal samples that contained Variant Lymphocytes. Statistical features were extracted from these data using Principal Component Analysis (PCA) and then a Perceptron ANN was employed to differentiate between the two classes of data. The accuracy of pattern classification using this method was then discussed.
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639231678 ISBN 13: 9783639231670
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock. This item is printed on demand.