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Label-Specific Features Learning for Feature-Specific Labels Association Mining
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Zheng Zhi, Xu Tong, Qin Chuan, Liao Xiangwen, Zheng Yi, Liu Tongzhu, Tong Guixian.
Multi-Source Contextual Collaborative Recommendation for Medicine
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RGNE:A Network Embedding Method for Overlapping Community Detection Based on Rough Granulation
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Yan Xiaoqiang, Ye Yangdong.
Cross-Media Clustering by Share and Private Information Maximization
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Partition Order Product Space: Partition Based Granular Computing Model
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Predicting Biological Functions of G Protein-Coupled Receptors Based on Fast Multi-Instance Multi-Label Learning
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Qi Xiaolong, Gao Yang, Wang Hao, Song Bei, Zhou Chunlei,Zhang Youwei.
A Measurable Bayesian Network Structure Learning Method
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Song Pan, Jing Liping.
Exploiting Label Relationships in Multi-Label Classification with Neural Networks
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Wang Ling,Meng Jianyao.
Dynamic Fuzzy Features Selection Based on Variable Weight
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Xu Hang, Zhang Kai, Wang Wenjian.
A Feature Selection Method for Small Samples
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Geng Xin, Xu Ning, Shao Ruifeng.
Label Enhancement for Label Distribution Learning
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A Neighborhood Rough Sets-Based Co-Training Model for Classification
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Non-Redundant Multi-View Clustering Based on Information Bottleneck
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An Unsupervised Feature Selection Approach Based on Mutual Information
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