03273oam 2200721I 450 991045373290332120200520144314.00-429-14820-81-4398-0616-010.1201/b16017 (CKB)2550000001167919(EBL)1433364(OCoLC)865330387(SSID)ssj0001175466(PQKBManifestationID)11761109(PQKBTitleCode)TC0001175466(PQKBWorkID)11121865(PQKB)10137816(MiAaPQ)EBC1433364(CaSebORM)9781439806166(Au-PeEL)EBL1433364(CaPaEBR)ebr10811767(CaONFJC)MIL549252(OCoLC)879631718(OCoLC)863715573(EXLCZ)99255000000116791920180331h20142014 uy 0engur|n|---|||||txtccrMulti-label dimensionality reduction /Liang Sun, Shuiwang Ji, and Jieping Ye1st editionBoca Raton, FL :CRC Press,[2014]©20141 online resource (206 p.)Chapman & Hall/CRC machine learning & pattern recognition seriesChapman & Hall/CRC machine learning & pattern recognition seriesDescription based upon print version of record.1-4398-0615-2 1-306-18001-5 Includes bibliographical references.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 CoverSimilar 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 developments, theoretical propertiChapman & Hall/CRC machine learning & pattern recognition series.Computational complexityMachine learningPattern perceptionElectronic books.Computational complexity.Machine learning.Pattern perception.006.3/1Sun Liang940395Ji ShuiwangYe JiepingFlBoTFGFlBoTFGBOOK9910453732903321Multi-label dimensionality reduction2120703UNINA