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Multi-label dimensionality reduction /
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data minin...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Florida :
CRC Press,
[2014]
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| Colección: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn879631718 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 131226t20142014flua ob 000 0 eng d | ||
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| 019 | |a 865330387 | ||
| 020 | |a 9781439806166 |q (e-book) | ||
| 020 | |a 1439806160 |q (e-book) | ||
| 020 | |a 9781439806159 | ||
| 020 | |a 1439806152 | ||
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| 035 | |a (OCoLC)879631718 |z (OCoLC)865330387 | ||
| 050 | 4 | |a Q325.5 |b .L52 2014eb | |
| 082 | 4 | |a 006.3/1 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Liang Sun. | |
| 245 | 1 | 0 | |a Multi-label dimensionality reduction / |c Liang Sun, Shuiwang Ji, and Jieping Ye. |
| 264 | 1 | |a Boca Raton, Florida : |b CRC Press, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (206 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed December 26, 2013). | |
| 505 | 0 | |a Cover; Series; Contents; Preface; Symbol Description; Chapter 1: Introduction; Chapter 2: Partial Least Squares; Chapter 3: Canonical Correlation Analysis; Chapter 4: Hypergraph Spectral Learning; Chapter 5: A Scalable Two-Stage Approach for Dimensionality Reduction; Chapter 6: A Shared-Subspace Learning Framework; Chapter 7: Joint Dimensionality Reduction and Classification; Chapter 8: Nonlinear Dimensionality Reduction: Algorithms and Applications; Appendix Proofs; References; Back Cover. | |
| 520 | |a Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks a unified treatment of multi-label dimensionality reduction that incorporates both algorithmic developments and applications. Addressing this shortfall, Multi-Label Dimensionality Reduction covers the methodological. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Computational complexity. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Pattern perception. | |
| 650 | 6 | |a Complexité de calcul (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Perception des structures. | |
| 650 | 7 | |a Computational complexity |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Pattern perception |2 fast | |
| 700 | 1 | |a Ji, Shuiwang, |d 1977- |1 https://id.oclc.org/worldcat/entity/E39PCjBGbWR98RQDWVMvfbtyv3 | |
| 700 | 1 | |a Ye, Jieping. | |
| 758 | |i has work: |a Multi-label dimensionality reduction (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFw4pF49BDPtQWjRQ9xqwC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Sun, Liang. |t Multi-Label Dimensionality Reduction. |d Hoboken : Taylor and Francis, ©2013 |z 9781439806159 |
| 830 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1433364 |z Texto completo |
| 938 | |a eLibro |b ELBO |n ELB140769 | ||
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1433364 | ||
| 994 | |a 92 |b IZTAP | ||