Idioma: Inglés
Publicado por Springer (edition 2012), 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
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Añadir al carritoHardcover. Condición: Very Good. 2012. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Añadir al carritoCondición: Fine. 2017 printing; 340 pp., hardcover, previous owner's name neatly inked to the title page, head of spine rubbed, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Añadir al carritoCondición: New. pp. 340.
Idioma: Inglés
Publicado por Springer New York, Springer US, 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 249,24
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed 'ensemble learning' by researchers in computational intelligence and machine learning, it is known to improve a decision system's robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as 'boosting' and 'random forest' facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.
Idioma: Inglés
Publicado por Springer New York, Springer US Feb 2012, 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 246,09
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Añadir al carritoBuch. Condición: Neu. Neuware -It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed ¿ensemble learning¿ by researchers in computational intelligence and machine learning, it is known to improve a decision system¿s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as ¿boosting¿ and ¿random forest¿ facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics.Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Librería: Revaluation Books, Exeter, Reino Unido
EUR 335,89
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Añadir al carritoHardcover. Condición: Brand New. 328 pages. 9.25x6.25x0.75 inches. In Stock.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers all existing methods developed for ensemble learningPresents overview and in-depth knowledge about ensemble learningDiscusses the pros and cons of various ensemble learning methodsDemonstrate how ensemble learning can be used .
Idioma: Inglés
Publicado por Springer New York Feb 2012, 2012
ISBN 10: 1441993258 ISBN 13: 9781441993250
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 246,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed 'ensemble learning' by researchers in computational intelligence and machine learning, it is known to improve a decision system's robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as 'boosting' and 'random forest' facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike. 340 pp. Englisch.
Librería: preigu, Osnabrück, Alemania
EUR 213,95
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Añadir al carritoBuch. Condición: Neu. Ensemble Machine Learning | Methods and Applications | Yunqian Ma (u. a.) | Buch | viii | Englisch | 2012 | Springer US | EAN 9781441993250 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 340 84 Illus.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 340.