Optimizing Top- Multiclass SVM via Semismooth Newton Algorithm

Top- performance has recently received increasing attention in large data categories. Advances, like a top- multiclass support vector machine (SVM), have consistently improved the top- accuracy. However, the key ingredient in the state-of-the-art optimization scheme based upon stochastic dual coordi...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2018-12, Vol.29 (12), p.6264-6275
Hauptverfasser:	Chu, Dejun, Lu, Rui, Li, Jin, Yu, Xintong, Zhang, Changshui, Tao, Qing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ascent Optimization State of the art Stochasticity Support vector machines Training
Online-Zugang:	Volltext
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