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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 - Livres de poche

2010, ISBN: 3642098347, Lieferbar binnen 4-6 Wochen Frais d'envoiVersandkostenfrei 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
Livre non disponible
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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) - Livres de poche

2010, ISBN: 3642098347

ID: 22398034771

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

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Détails sur le livre
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.

Informations détaillées sur le livre - Machine Learning


EAN (ISBN-13): 9783642098345
ISBN (ISBN-10): 3642098347
Livre de poche
Date de parution: 2010
Editeur: Springer-Verlag GmbH
180 Pages
Poids: 0,281 kg
Langue: eng/Englisch

Livre dans la base de données depuis 22.08.2012 10:29:46
Livre trouvé récemment le 03.08.2017 19:28:18
ISBN/EAN: 9783642098345

ISBN - Autres types d'écriture:
3-642-09834-7, 978-3-642-09834-5


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