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Synopsis
The primary goal of this book is to give readers a complete treatment of the state-of-the-art ensemble learning methods. It also provides a set of applications that demonstrate the various usages of ensemble learning methods in the real-world.
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From the Back Cover
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...
About the Author
Dr. Zhang works for Microsoft. Dr. Ma works for Honeywell.
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- PublisherSpringer
- Publication date2014
- ISBN 10 1489988173
- ISBN 13 9781489988171
- BindingPaperback
- LanguageEnglish
- Number of pages340
- EditorZhang Cha, Ma Yunqian
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Ensemble Machine Learning
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Springer New York Apr 2014, 2014
ISBN 10: 1489988173
ISBN 13: 9781489988171
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9781489988171
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Ensemble Machine Learning : Methods and Applications
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ISBN 10: 1489988173
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Taschenbuch. Condition: 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. Seller Inventory # 9781489988171
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Ensemble Machine Learning
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Condition: 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 . Seller Inventory # 4212968
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Ensemble Machine Learning: Methods and Applications
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ISBN 10: 1489988173
ISBN 13: 9781489988171
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Paperback. Condition: Brand New. 340 pages. 9.25x6.10x0.77 inches. In Stock. Seller Inventory # x-1489988173
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