Multiple Kernel SVM Based on Two-Stage Learning

In this paper we introduce the idea of two-stage learning for multiple kernel SVM (MKSVM) and present a new MKSVM algorithm based on two-stage learning (MKSVM-TSL). The first stage is the pre-learning and its aim is to obtain the information of data such that the "important" samples for cl...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.101133-101144
Hauptverfasser:	Gong, Xingrui, Zou, Bin, Duan, Yuze, Xu, Jie, Luo, Qingxin, Yang, Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Complexity theory Kernel Kernels learning rate Machine learning Markov chains Markov processes multiple kernel SVM Optimization Support vector machines Training Two-stage learning uniformly ergodic Markov chain
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