Semi-supervised vector-valued learning: Improved bounds and algorithms

Author:

Li JianORCID,Liu Yong,Wang Weiping

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

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2. Multi-class classification with maximum margin multiple kernel;Cortes,2013

3. LIFT: multi-label learning with label-specific features;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2014

4. Weight matrix sharing for multi-label learning;Qian;Pattern Recognit.,2022

5. Multitask multiclass support vector machines: model and experiments;Ji;Pattern Recognit.,2013

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Convergence for Agnostic Kernel Learning With Random Features;IEEE Transactions on Neural Networks and Learning Systems;2023

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