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… Meer...
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. eBook Kai-Zhu Huang#Irwin King#Michael R. Lyu#Haiqin Yang PDF, Springer, 24.09.2008, Springer, 2008<
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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… Meer...
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. eBook Kai-Zhu Huang#Haiqin Yang#Irwin King#Michael R. Lyu PDF, Springer, 24.09.2008, Springer, 2008<
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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… Meer...
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. eBook Kai-Zhu Huang#Haiqin Yang#Irwin King#Michael R. Lyu 24.09.2008, Springer, Springer<
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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… Meer...
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., Springer<
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Kai-Zhu Huang#Irwin King#Michael R. Lyu#Haiqin Yang:
Machine Learning - nieuw boek
2008, ISBN: 9783540794523
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… Meer...
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. eBook Kai-Zhu Huang#Irwin King#Michael R. Lyu#Haiqin Yang PDF, Springer, 24.09.2008, Springer, 2008<
Nr. 25398017. Verzendingskosten:, Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 8.00)
Kai-Zhu Huang#Haiqin Yang#Irwin King#Michael R. Lyu:
Machine Learning - nieuw boek
2008, ISBN: 9783540794523
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… Meer...
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. eBook Kai-Zhu Huang#Haiqin Yang#Irwin King#Michael R. Lyu PDF, Springer, 24.09.2008, Springer, 2008<
Nr. 25398017. Verzendingskosten:, Sofort per Download lieferbar, DE. (EUR 0.00)
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… Meer...
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. eBook Kai-Zhu Huang#Haiqin Yang#Irwin King#Michael R. Lyu 24.09.2008, Springer, Springer<
Nr. 25398017. Verzendingskosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 16.78)
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… Meer...
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., Springer<
Nr. 978-3-540-79452-3. Verzendingskosten:Worldwide free shipping, , DE. (EUR 0.00)
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Bibliografische gegevens van het best passende boek
Boek bevindt zich in het datenbestand sinds 2010-06-03T05:42:22+02:00 (Amsterdam) Detailpagina laatst gewijzigd op 2023-12-05T16:10:37+01:00 (Amsterdam) ISBN/EAN: 9783540794523
ISBN - alternatieve schrijfwijzen: 978-3-540-79452-3 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: huang, irwin, michael, king were, yang hong Titel van het boek: china, chi, the machine seen, machine learning, huang, zhu
Gegevens van de uitgever
Auteur: Kai-Zhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu Titel: Advanced Topics in Science and Technology in China; Machine Learning - Modeling Data Locally and Globally Uitgeverij: Springer; Springer Berlin; Zhejiang University Press 169 Bladzijden Verschijningsjaar: 2008-09-24 Berlin; Heidelberg; DE Taal: Engels 128,39 € (DE) 132,00 € (AT) 186,50 CHF (CH) Available X, 169 p. 53 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; ATSTC; Global learning; Hybrid learning; Kernelization; Local learning; ZJUP; algorithms; computer science; machine learning; B; Automated Pattern Recognition; Information Storage and Retrieval; Data Mining and Knowledge Discovery; Computer Science; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Data Mining; Wissensbasierte Systeme, Expertensysteme; BC
Global Learning vs. Local Learning.- A General Global Learning Model: MEMPM.- Learning Locally and Globally: Maxi-Min Margin Machine.- Extension I: BMPM for Imbalanced Learning.- Extension II: A Regression Model from M4.- Extension III: Variational Margin Settings within Local Data in Support Vector Regression.- Conclusion and Future Work. New unified theory Detailed graphic illustration Empirical validation for each model
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