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	Robust Bi-Orthogonal Projection Learning: An Enhanced Dimensionality Reduction Method and Its Application in Unsupervised Learning Journal article Electronics (Switzerland),2024, volume: 13, issue: 24 Authors: Qin, Xianhao; Li, Chunsheng; Liang, Yingyi; Zheng, Huilin; Dong, Luxi Favorite \| View/Download：5/0 \| Submit date：2025/03/10 dimensionality reduction sparse representation structure consistency subspace learning
	Graph representation learning for popularity prediction problem: A survey Journal article Discrete Mathematics, Algorithms and Applications,2022, volume: 14, issue: 7 Authors: Chen, Tiantian; Guo, Jianxiong; Wu, Weili Favorite \| View/Download：12/0 \| Submit date：2022/11/14 Deep learning graph representation learning information cascading information diffusion popularity prediction social networks
	Forecasting Asset Dependencies to Reduce Portfolio Risk Conference paper Proceedings of the 36th AAAI Conference on Artificial Intelligence, Virtually, FEB 22 – Mar 1, 2022 Authors: Zhu, Haoren; Liu, Shih-Yang; Zhao, Pengfei; Chen, Yingying; Lee, Dik Lun Favorite \| View/Download：6/0 \| Submit date：2023/02/08 Data Mining & Knowledge Management (DMKM) Machine Learning (ML) Domain(s) Of Application (APP) Knowledge Representation And Reasoning (KRR)
	Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information Conference paper PRICAI 2022: Trends in Artificial Intelligence: 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II, Shanghai, China, November 10–13, 2022 Authors: Huang, Yiyan; Leung, Cheuk Hang; Ma, Shumin; Wu, Qi; Wang, Dongdong Favorite \| View/Download：4/0 \| Submit date：2024/06/19 Causal inference Representation learning Treatment effects
	Emerging Native-Similar Neural Representations Underlie Non-Native Speech Category Learning Success Journal article Neurobiology of Language,2021, volume: 2, issue: 2, pages: 280-307 Authors: Feng, Gangyi; Li, Yu; Hsu, Shen Mou; Wong, Patrick C.M.; Chou, Tai Li Favorite \| View/Download：8/0 \| Submit date：2022/02/23 Feedback processing Individual differences Multivariate representation Non-native speech learning Predictive modeling Tone language
	Representation and Reinforcement Learning for Task Scheduling in Edge Computing Journal article IEEE Transactions on Big Data,2020 Authors: Tang, Zhiqing; Jia, Weijia; Zhou, Xiaojie; Yang, Wenmian; You, Yongjian Favorite \| View/Download：7/0 \| Submit date：2021/04/23 Big Data Edge computing Energy consumption Heuristic algorithms Processor scheduling reinforcement learning Reinforcement learning representation learning Scheduling Task analysis task scheduling
	知识图谱补全算法综述 Journal article 信息通信技术/Information and Communications Technologies,2018, volume: 12, issue: 1, pages: 56-62 Authors: 丁建辉; 贾维嘉 Favorite \| View/Download：0/0 \| Submit date：2021/09/15 人工智能 Distributed Representation 表示学习知识图谱分布式表示 Artificial Intelligence Representation Learning Knowledge Graph
	Jointly modeling structural and textual representation for knowledge graph completion in zero-shot scenario Conference paper Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Macau, China, July 23-25, 2018 Authors: Ding, Jianhui; Ma, Shiheng; Jia, Weijia; Guo, Minyi Favorite \| View/Download：5/0 \| Submit date：2021/07/30 Knowledge graph completion Knowledge representation Zero-shot learning
	TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion Conference paper Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Skopje, Macedonia, September 18–22, 2017 Authors: Ma, Shiheng; Ding, Jianhui; Jia, Weijia; Wang, Kun; Guo, Minyi Favorite \| View/Download：4/0 \| Submit date：2021/07/30 Knowledge graph Multiple embedding Representation learning