Publicado por Springer-Verlag Berlin and Heide, 1999
ISBN 10: 3540643907 ISBN 13: 9783540643906
Idioma: Inglés
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
EUR 23,50
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Añadir al carritoCondición: 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.
Publicado por Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1999
ISBN 10: 3540643907 ISBN 13: 9783540643906
Idioma: Inglés
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
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Añadir al carritoCondición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 306 1st Edition.
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Añadir al carritoCondición: New. pp. 306.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. pp. 306.
Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
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Añadir al carritoCondición: 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.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 56,24
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 328.
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Añadir al carritoPaperback. Condición: Brand New. 1999 edition. 328 pages. 9.25x6.10x0.74 inches. In Stock.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por Springer Berlin Heidelberg, 2014
ISBN 10: 3642641741 ISBN 13: 9783642641749
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 110,53
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
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Añadir al carritoCondición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 126,32
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 344 pages. 9.25x6.10x0.94 inches. In Stock.
Librería: preigu, Osnabrück, Alemania
EUR 96,40
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319836757 ISBN 13: 9783319836751
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer International Publishing, 2016
ISBN 10: 3319471929 ISBN 13: 9783319471921
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.