Maximum Margin of Twin Sphere Model via Combined Smooth Reward-Penalty Loss Function with Lower Bound

Maximum Margin of Twin Sphere Model via Combined Smooth Reward-Penalty Loss Function with Lower Bound

KANG Qian, ZHOU Shuisheng

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Pattern Recognition and Artificial Intelligence ›› 2021, Vol. 34 ›› Issue (10) : 885-897. DOI: 10.16451/j.cnki.issn1003-6059.202110002

Adaptive Learning for Classification and Clustering

Maximum Margin of Twin Sphere Model via Combined Smooth Reward-Penalty Loss Function with Lower Bound

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{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2021, 34(10): 885-897 https://doi.org/10.16451/j.cnki.issn1003-6059.202110002

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