Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis
文献类型：期刊论文
| 作者 | Fanghui Bi; Xin Luo; Bo Shen; Hongli Dong; Zidong Wang |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2023 |
| 卷号 | 10期号:6页码:1388-1406 |
| 关键词 | Data science high-dimensional and incomplete data knowledge acquisition industrial application nonnegative latent factor analysis (NLFA) proximal alternating direction method of multipliers representation learning |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2023.123474 |
| 英文摘要 | High-dimensional and incomplete (HDI) data subject to the nonnegativity constraints are commonly encountered in a big data-related application concerning the interactions among numerous nodes. A nonnegative latent factor analysis (NLFA) model can perform representation learning to HDI data efficiently. However, existing NLFA models suffer from either slow convergence rate or representation accuracy loss. To address this issue, this paper proposes a proximal alternating-direction-method-of-multipliers-based nonnegative latent factor analysis (PAN) model with two-fold ideas: 1) adopting the principle of alternating-direction-method-of-multipliers to implement an efficient learning scheme for fast convergence and high computational efficiency; and 2) incorporating the proximal regularization into the learning scheme to suppress the optimization fluctuation for high representation learning accuracy to HDI data. Theoretical studies verify that PAN converges to a Karush-Kuhn-Tucker (KKT) stationary point of its nonnegativity-constrained learning objective with its learning scheme. Experimental results on eight HDI matrices from real applications demonstrate that the proposed PAN model outperforms several state-of-the-art models in both estimation accuracy for missing data of an HDI matrix and computational efficiency. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51677]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Fanghui Bi,Xin Luo,Bo Shen,et al. Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(6):1388-1406. |
| APA | Fanghui Bi,Xin Luo,Bo Shen,Hongli Dong,&Zidong Wang.(2023).Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis.IEEE/CAA Journal of Automatica Sinica,10(6),1388-1406. |
| MLA | Fanghui Bi,et al."Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis".IEEE/CAA Journal of Automatica Sinica 10.6(2023):1388-1406. |
入库方式： OAI收割
来源：自动化研究所
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