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Learning Non Stationary Environments Methods (17 results)
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hardcover. Condition: Gut. 452 Seiten; 9781441980199.3 Gewicht in Gramm: 1.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Learning in Non-Stationary Environments: Methods and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Learning in Non-Stationary Environments: Methods and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Learning in Non-Stationary Environments : Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Taschenbuch. Condition: Neu. Learning in Non-Stationary Environments | Methods and Applications | Edwin Lughofer (u. a.) | Taschenbuch | xii | Englisch | 2014 | Springer US | EAN 9781489993403 | 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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Learning in Non-Stationary Environments : Methods and Applications
Published by Springer New York, Springer New York, 2014
ISBN 10: 1489993401 ISBN 13: 9781489993403
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
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Learning in Non-Stationary Environments : Methods and Applications
Published by Springer New York, Springer US, 2012
ISBN 10: 1441980199 ISBN 13: 9781441980199
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
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Learning in Non-Stationary Environments: Methods and Applications
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1441980199 ISBN 13: 9781441980199
Language: English
Hardcover. Condition: Brand New. 440 pages. 5.25x6.00x1.05 inches. In Stock.
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Paperback. Condition: Like New. Like New. book.
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Learning in Non-Stationary Environments : Methods and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Buch. Condition: Neu. Learning in Non-Stationary Environments | Methods and Applications | Edwin Lughofer (u. a.) | Buch | xii | Englisch | 2012 | Springer US | EAN 9781441980199 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
