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自动化研究所 [3]

武汉大学 [3]

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	Multimodal deep generative adversarial models for scalable doubly semi-supervised learning 期刊论文 INFORMATION FUSION, 2021, 卷号: 68, 页码: 118-130 作者: Du, Changde; Du, Changying; He, Huiguang 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/03/29 Multiview learning Multimodal fusion Generative adversarial networks Deep generative models Semi-supervised learning
	Doubly Semi-supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval 会议论文 Shanghai, China, July 8-12, 2019 作者: Du Changde; Du Changying; He Huiguang 收藏 \| 浏览/下载：48/0 \| 提交时间：2019/05/06
	Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data 会议论文 Seoul, Republic of Korea, October 22--26, 2018 作者: Du Changde; Du Changying; Wang Hao; Li Jinpeng; Zheng Wei-Long 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/05/06
	Supervised Collaborative Filtering Based on Ridge Alternating Least Squares and Iterative Projection Pursuit 期刊论文 IEEE ACCESS, 2017, 卷号: 5, 页码: 6600-6607 作者: Chen, Bo-Wei; Ji, Wen; Rho, Seungmin; Gu, Yu 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/12/12 Incomplete data analysis privacy preservation supervised collaborative filtering collaborative filtering (CF) alternating least squares (ALS) supervised data imputation data imputation singular value decomposition (SVD) supervised nonnegative matrix factorization (NMF) recommendation system low-rank matrix approximation matrix completion matrix factorization iterative projection pursuit
	Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation 会议论文作者: Jing, Xiao-Yuan; Qi, Fumin; Wu, Fei; Xu, Baowen 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/05
	Missing data imputation based on low-rank recovery and semi-supervised regression for software effort estimation 期刊论文 Proceedings - International Conference on Software Engineering, 2016, 卷号: 14-22-May-2016 作者: Jing, Xiao-Yuan; Qi, Fumin; Wu, Fei; Xu, Baowen 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/05
	Missing Data Imputation Based on Low-Rank Recovery and Semi-Supervised Regression for Software Effort Estimation 会议论文作者: Jing, Xiao-Yuan; Qi, Fumin; Wu, Fei; Xu, Baowen 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/05 Software effort estimation Missing data problem Drive factor missing case Effort label missing case Low-rank recovery and semi-supervised regression imputation (LRSRI)
	A study on software effort prediction using machine learning techniques 会议论文 6th International Conference Evaluation of Novel Approaches to Software Engineering, ENASE 2011, Beijing, China, June 8, 2011 - June 11, 2011 Zhang, Wen (1); Yang, Ye (1); Wang, Qing (1) 收藏 \| 浏览/下载：7/0 \| 提交时间：2014/12/16
	on the predictability of software efforts using machine learning techniques 会议论文 6th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2011, Beijing, China, June 8, 2011 - June 11, 2011 Zhang Wen; Yang Ye; Wang Qing 收藏 \| 浏览/下载：9/0 \| 提交时间：2013/10/08 Decision trees Forecasting Neural networks Software engineering Supervised learning Unsupervised learning

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