Funder
Harbin Institute of Technology
Key Technology Research and Development Program of Shandong Province
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference39 articles.
1. Beluch, W.H., Genewein, T., Nürnberger, A., Köhler, J.M., 2018. The power of ensembles for active learning in image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 9368–9377.
2. A theory of learning from different domains;Ben-David;Mach. Learn.,2010
3. Analysis of representations for domain adaptation;Ben-David;Adv. Neural Inf. Process. Syst.,2006
4. Data augmentation for sentiment classification with semantic preservation and diversity;Chao;Knowl.-Based Syst.,2023
5. Semi-supervised multitask learning via self-training and maximum entropy discrimination;Chao,2012
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