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A Sparse L ∞ -Norm Regularized Least Squares Support Vector Regression.

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Title: A Sparse L ∞ -Norm Regularized Least Squares Support Vector Regression.
Authors: Liu, Xiaoyong1 (AUTHOR) liuxy204@163.com, Li, Dong1 (AUTHOR), Zeng, Chengbin1 (AUTHOR)
Source: Algorithms. Feb2026, Vol. 19 Issue 2, p160. 25p.
Database: Academic Search Ultimate
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An: 191972608
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  Data: A Sparse L ∞ -Norm Regularized Least Squares Support Vector Regression.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Xiaoyong%22">Liu, Xiaoyong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liuxy204@163.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Dong%22">Li, Dong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zeng%2C+Chengbin%22">Zeng, Chengbin</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Feb2026, Vol. 19 Issue 2, p160. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191972608
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        Value: 10.3390/a19020160
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        Text: English
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      – TitleFull: A Sparse L ∞ -Norm Regularized Least Squares Support Vector Regression.
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            NameFull: Liu, Xiaoyong
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            NameFull: Li, Dong
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              Text: Feb2026
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