randomizedlatentfactormodelforhighdimensionalandsparsematricesfromindustrialapplications
文献类型：期刊论文
| 作者 | Mingsheng Shang3 ; Xin Luo3; Zhigang Liu3; Jia Chen2; Ye Yuan3; MengChu Zhou1
|
| 刊名 | 自动化学报英文版
 |
| 出版日期 | 2019 |
| 卷号 | 000期号:001页码:131 |
| ISSN号 | 2329-9266 |
| 英文摘要 | Latent factor(LF) models are highly effective in extracting useful knowledge from High-Dimensional and Sparse(HiDS) matrices which are commonly seen in various industrial applications. An LF model usually adopts iterative optimizers,which may consume many iterations to achieve a local optima,resulting in considerable time cost. Hence, determining how to accelerate the training process for LF models has become a significant issue. To address this, this work proposes a randomized latent factor(RLF) model. It incorporates the principle of randomized learning techniques from neural networks into the LF analysis of HiDS matrices, thereby greatly alleviating computational burden. It also extends a standard learning process for randomized neural networks in context of LF analysis to make the resulting model represent an HiDS matrix correctly.Experimental results on three HiDS matrices from industrial applications demonstrate that compared with state-of-the-art LF models, RLF is able to achieve significantly higher computational efficiency and comparable prediction accuracy for missing data.I provides an important alternative approach to LF analysis of HiDS matrices, which is especially desired for industrial applications demanding highly efficient models. |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9245]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 作者单位 | 1.the Department of Electrical and Computer Engineering,New Jersey Institute of Technology, Newark 2.北京航空航天大学 3.中国科学院重庆绿色智能技术研究院 |
| 推荐引用方式 GB/T 7714 | Mingsheng Shang,Xin Luo,Zhigang Liu,et al. randomizedlatentfactormodelforhighdimensionalandsparsematricesfromindustrialapplications[J]. 自动化学报英文版,2019,000(001):131. |
| APA | Mingsheng Shang,Xin Luo,Zhigang Liu,Jia Chen,Ye Yuan,&MengChu Zhou.(2019).randomizedlatentfactormodelforhighdimensionalandsparsematricesfromindustrialapplications.自动化学报英文版,000(001),131. |
| MLA | Mingsheng Shang,et al."randomizedlatentfactormodelforhighdimensionalandsparsematricesfromindustrialapplications".自动化学报英文版 000.001(2019):131. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。