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Machine Learning Modeling Data Locally and Globally /
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."T...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Advanced Topics in Science and Technology in China,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-79452-3 | ||
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| 008 | 100301s2008 gw | s |||| 0|eng d | ||
| 020 | |a 9783540794523 |9 978-3-540-79452-3 | ||
| 024 | 7 | |a 10.1007/978-3-540-79452-3 |2 doi | |
| 050 | 4 | |a Q337.5 | |
| 050 | 4 | |a TK7882.P3 | |
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| 100 | 1 | |a Huang, Kai-Zhu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Machine Learning |h [electronic resource] : |b Modeling Data Locally and Globally / |c by Kai-Zhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a X, 169 p. 53 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Advanced Topics in Science and Technology in China, |x 1995-6827 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Information Storage and Retrieval. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 700 | 1 | |a Yang, Haiqin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a King, Irwin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Lyu, Michael R. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540872351 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642098345 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540794516 |
| 830 | 0 | |a Advanced Topics in Science and Technology in China, |x 1995-6827 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-79452-3 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||