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Machine Learning - Huang, Kai-Zhu; Lyu, Michael R.; Yang, Haiqin
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Huang, Kai-Zhu; Lyu, Michael R.; Yang, Haiqin:
Machine Learning - Taschenbuch

2010, ISBN: 3642098347, Lieferbar binnen 4-6 Wochen Versandkosten:Versandkostenfrei innerhalb der BRD

ID: 9783642098345

Internationaler Buchtitel. In englischer Sprache. Verlag: Springer-Verlag GmbH, Paperback, 180 Seiten, L=235mm, B=155mm, H=9mm, Gew.=281gr, [GR: 16350 - HC/Anwendungs-Software], Kartoniert/Broschiert, Klappentext: Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but - more importantly - it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.Kaizhu Huang was a researcher at the Fujitsu Research and Development Center and is currently a research fellow in the Chinese University of Hong Kong. Haiqin Yang leads the image processing group at HiSilicon Technologies. Irwin King and Michael R. Lyu are professors at the Computer Science and Engineering department of the Chinese University of Hong Kong. Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but - more importantly - it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.Kaizhu Huang was a researcher at the Fujitsu Research and Development Center and is currently a research fellow in the Chinese University of Hong Kong. Haiqin Yang leads the image processing group at HiSilicon Technologies. Irwin King and Michael R. Lyu are professors at the Computer Science and Engineering department of the Chinese University of Hong Kong.

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Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China) - Kai-Zhu Huang; Haiqin Yang; Michael R. Lyu
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Kai-Zhu Huang; Haiqin Yang; Michael R. Lyu:
Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China) - Taschenbuch

2010, ISBN: 3642098347

ID: 22398034771

[EAN: 9783642098345], Neubuch, [PU: Springer]

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Details zum Buch
Machine Learning

Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but - more importantly - it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.Kaizhu Huang was a researcher at the Fujitsu Research and Development Center and is currently a research fellow in the Chinese University of Hong Kong. Haiqin Yang leads the image processing group at HiSilicon Technologies. Irwin King and Michael R. Lyu are professors at the Computer Science and Engineering department of the Chinese University of Hong Kong.

Detailangaben zum Buch - Machine Learning


EAN (ISBN-13): 9783642098345
ISBN (ISBN-10): 3642098347
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
180 Seiten
Gewicht: 0,281 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 22.08.2012 10:29:46
Buch zuletzt gefunden am 03.08.2017 19:28:18
ISBN/EAN: 9783642098345

ISBN - alternative Schreibweisen:
3-642-09834-7, 978-3-642-09834-5


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