Deep Support Vectors

Deep learning has achieved tremendous success. \nj{However,} unlike SVMs, which provide direct decision criteria and can be trained with a small dataset, it still has significant weaknesses due to its requirement for massive datasets during training and the black-box characteristics on decision crit...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Lee, Junhoo, Lee, Hyunho, Hwang, Kyomin, Kwak, Nojun
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Deep learning Kuhn-Tucker method Machine learning Support vector machines
Online-Zugang:	Volltext
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