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In den WarenkorbZustand: New. pp. 248.
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Zustand: 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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In den WarenkorbZustand: Good. Part 1. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 248 pages. 9.30x6.10x0.70 inches. In Stock.
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In den WarenkorbZustand: New. pp. 224.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: Used. pp. lii + 1221.
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In den WarenkorbZustand: New. This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. Num Pages: 248 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 237 x 161 x 18. Weight in Grams: 520. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Taschenbuch. Zustand: Neu. Advances in Neural Networks -- ISNN 2011 | 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings Part I | Derong Liu (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | Springer | EAN 9783642211041 | Verantwortliche Person für die EU: Lauinger, Sonia, Sonia Lauinger, Lauinger Verlag, Heinrich-Köhler-Platz 8, 76187 Karlsruhe, mail[at]lauinger-verlag[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2011
ISBN 10: 3642211100 ISBN 13: 9783642211102
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In den WarenkorbPaperback. Zustand: Brand New. 2011 edition. 642 pages. 9.00x6.00x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2011
ISBN 10: 3642211046 ISBN 13: 9783642211041
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In den WarenkorbPaperback. Zustand: Brand New. 2011 edition. 634 pages. 9.00x6.00x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2011
ISBN 10: 3642210899 ISBN 13: 9783642210891
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In den WarenkorbPaperback. Zustand: Brand New. 2011 edition. 646 pages. 9.00x6.00x1.75 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 216 pages. 9.40x6.20x0.80 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2011
ISBN 10: 3642211046 ISBN 13: 9783642211041
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011.The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.
EUR 132,04
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In den WarenkorbZustand: New. This book certainly qualifies as a reference for graduate studies in machine learning. Research students are sure to find it highly valuable and a prized possession, especially taking into account the wealth of supporting literature that the authors have b.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 634 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: Gut. Zustand: Gut | Seiten: 642 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 646 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 190,62
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In den WarenkorbZustand: New. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. Editor(s): He, Haibo; Ma, Yunqian. Num Pages: 216 pages, illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 19. Weight in Grams: 494. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Zustand: Gut. Zustand: Gut | Seiten: 1213 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 1213 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 1221 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Buch. Zustand: Neu. Neuware - This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain.Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 1221 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Buch. Zustand: Neu. Neuware - The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learningImbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation.The first comprehensive look at this new branch of machine learning, this book offers a critical review of the problem of imbalanced learning, covering the state of the art in techniques, principles, and real-world applications. Featuring contributions from experts in both academia and industry, Imbalanced Learning: Foundations, Algorithms, and Applications provides chapter coverage on:\* Foundations of Imbalanced Learning\* Imbalanced Datasets: From Sampling to Classifiers\* Ensemble Methods for Class Imbalance Learning\* Class Imbalance Learning Methods for Support Vector Machines\* Class Imbalance and Active Learning\* Nonstationary Stream Data Learning with Imbalanced Class Distribution\* Assessment Metrics for Imbalanced LearningImbalanced Learning: Foundations, Algorithms, and Applications will help scientists and engineers learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research directions.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 1251 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.