Verwandte Artikel zu Ensemble Machine Learning: Methods and Applications
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Dr. Zhang works for Microsoft. Dr. Ma works for Honeywell.
Von der hinteren Coverseite
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 systems 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 detection and are now being applied in areas as diverse as object trackingand 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 various contributions from researchers in leading industrial research labs. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 206,40
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerWeitere beliebte Ausgaben desselben Titels
Suchergebnisse für Ensemble Machine Learning: Methods and Applications
Beispielbild für diese ISBN
Ensemble Machine Learning: Methods and Applications
Anbieter: Zubal-Books, Since 1961, Cleveland, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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. Photos available upon request. Bestandsnummer des Verkäufers ZB1316680
Anzahl: 1 verfügbar
Foto des Verkäufers
Ensemble Machine Learning
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Gebunden. Zustand: 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 . Bestandsnummer des Verkäufers 4176650
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Ensemble Machine Learning (eng)
Print-on-DemandAnbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Verkäuferbewertung 4 von 5 Sternen
Zustand: new. Questo è un articolo print on demand. Bestandsnummer des Verkäufers cc0f9a6f1141670e39024625f30e6be1
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Ensemble Machine Learning
Verlag:
Springer New York, Springer US Feb 2012, 2012
ISBN 10: 1441993258
ISBN 13: 9781441993250
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Bestandsnummer des Verkäufers 9781441993250
Anzahl: 2 verfügbar
Foto des Verkäufers
Ensemble Machine Learning
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Bestandsnummer des Verkäufers 9781441993250
Anzahl: 2 verfügbar
Foto des Verkäufers
Ensemble Machine Learning : Methods and Applications
Verlag:
Springer New York, Springer US, 2012
ISBN 10: 1441993258
ISBN 13: 9781441993250
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Bestandsnummer des Verkäufers 9781441993250
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Ensemble Machine Learning: Methods and Applications
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781441993250_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Ensemble Machine Learning : Methods and Applications
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 16225888-n
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Ensemble Machine Learning : Methods and Applications
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 16225888-n
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Ensemble Machine Learning: Methods and Applications
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar2411530297649
Anzahl: Mehr als 20 verfügbar