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Shao, Yuan-Hai, Li, Chun-Na, Liu, Ming-Zeng, Wang, Zhen, Deng, Nai-Yang (2018) Sparse L-norm least squares support vector machine with feature selection. Pattern Recognition, 78. 167-181 doi:10.1016/j.patcog.2018.01.016

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Reference TypeJournal (article/letter/editorial)
TitleSparse L-norm least squares support vector machine with feature selection
JournalPattern Recognition
AuthorsShao, Yuan-HaiAuthor
Li, Chun-NaAuthor
Liu, Ming-ZengAuthor
Wang, ZhenAuthor
Deng, Nai-YangAuthor
Year2018 (June)Volume78
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.01.016Search in ResearchGate
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Mindat Ref. ID9367346Long-form Identifiermindat:1:5:9367346:8
GUID0
Full ReferenceShao, Yuan-Hai, Li, Chun-Na, Liu, Ming-Zeng, Wang, Zhen, Deng, Nai-Yang (2018) Sparse L-norm least squares support vector machine with feature selection. Pattern Recognition, 78. 167-181 doi:10.1016/j.patcog.2018.01.016
Plain TextShao, Yuan-Hai, Li, Chun-Na, Liu, Ming-Zeng, Wang, Zhen, Deng, Nai-Yang (2018) Sparse L-norm least squares support vector machine with feature selection. Pattern Recognition, 78. 167-181 doi:10.1016/j.patcog.2018.01.016
In(2018) Pattern Recognition Vol. 78. Elsevier BV

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Shao, Yuan-Hai, Deng, Nai-Yang, Yang, Zhi-Min (2012) Least squares recursive projection twin support vector machine for classification. Pattern Recognition, 45 (6). 2299-2307 doi:10.1016/j.patcog.2011.11.028
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Tang, Qingqing, Li, Guoquan (2024) Sparse L0-norm least squares support vector machine with feature selection. Information Sciences, 670. 120591 doi:10.1016/j.ins.2024.120591
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Kumari, Anuradha; Tanveer, M. (2025) Enhancing robustness and sparsity: Least squares one-class support vector machine. Pattern Recognition, 167. doi:10.1016/j.patcog.2025.111691
Li, Chun-Na, Huang, Ling-Wei, Shao, Yuan-Hai, Guo, Tingting, Mao, Yu (2024) Feature selection by Universum embedding. Pattern Recognition, 153. 110514 doi:10.1016/j.patcog.2024.110514
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Ye, Ya-Fen, , , Shao, Yuan-Hai, Li, Chun-Na, , (2015) WaveletLp-Norm Support Vector Regression with Feature Selection. Journal of Advanced Computational Intelligence and Intelligent Informatics, 19 (3). 407-416 doi:10.20965/jaciii.2015.p0407
 
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