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Artificial Immune Systems and Their Applications: Edition en anglais
Published by Springer-Verlag Berlin and Heide, 1999
ISBN 10: 3540643907 ISBN 13: 9783540643906
Language: English
Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Artificial Immune Systems and Their Applications: Edition en anglais
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1999
ISBN 10: 3540643907 ISBN 13: 9783540643906
Language: English
Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. A few small marks or stains to the page edges/pages . Minor shelf wear.
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Condition: New. pp. 306 1st Edition.
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Condition: New. pp. 306.
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Condition: New. pp. 306.
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Condition: Like New. Text block, wraps and binding are in like new condition, without markings of any kind. Previous owners name on the inside of front endpaper. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: 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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Condition: New.
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Artificial Immune Systems and Their Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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PF. Condition: New.
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Condition: New. pp. 328.
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Paperback. Condition: Brand New. 1999 edition. 328 pages. 9.25x6.10x0.74 inches. In Stock.
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Artificial Immune Systems and Their Applications
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642641741 ISBN 13: 9783642641749
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion. This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.
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Artificial Immune Systems and Their Applications
Published by Springer-Verlag GmbH, 2014
ISBN 10: 3642641741 ISBN 13: 9783642641749
Language: English
Taschenbuch. Condition: Neu. Artificial Immune Systems and Their Applications | Dipankar Dasgupta | Taschenbuch | xvii | Englisch | 2014 | Springer-Verlag GmbH | EAN 9783642641749 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Intelligent Systems Reference Library, 118)
Book 89 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Intelligent Systems Reference Library, 118)
Book 89 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Condition: As New. Unread book in perfect condition.
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Machine Learning Paradigms : Artificial Immune Systems and Their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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International EditionCondition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Machine Learning Paradigms : Artificial Immune Systems and Their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 107.80
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Taschenbuch. Condition: Neu. Machine Learning Paradigms | Artificial Immune Systems and their Applications in Software Personalization | Dionisios N. Sotiropoulos (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9783319836751 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Condition: Brand New. 344 pages. 9.25x6.10x0.94 inches. In Stock.
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Machine Learning Paradigms : Artificial Immune Systems and their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibraryPublished by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319836757 ISBN 13: 9783319836751
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems.The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
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Machine Learning Paradigms : Artificial Immune Systems and their Applications in Software Personalization
Book 89 of 188: Intelligent Systems Reference LibraryPublished by Springer International Publishing, 2016
ISBN 10: 3319471929 ISBN 13: 9783319471921
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems.The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
