Distribution-Free One-Pass Learning
文献类型：期刊论文
| 作者 | Zhao, Peng1; Wang, Xinqiang2; Xie, Siyu3; Guo, Lei2; Zhou, Zhi-Hua1 |
| 刊名 | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 33期号:3页码:951-963 |
| 关键词 | Data models Random variables Proposals Training Prediction algorithms Task analysis Compressed sensing Distribution change one-pass learning robust learning non-stationary environments |
| ISSN号 | 1041-4347 |
| DOI | 10.1109/TKDE.2019.2937078 |
| 英文摘要 | In many large-scale machine learning applications, data are accumulated over time, and thus, an appropriate model should be able to update in an online style. In particular, it would be ideal to have a storage independent from the data volume, and scan each data item only once. Meanwhile, the data distribution usually changes during the accumulation procedure, making distribution-free one-pass learning a challenging task. In this paper, we propose a simple yet effective approach for this task, without requiring prior knowledge about the change, where every data item can be discarded once scanned. We also present a variant for high-dimensional situations, by exploiting compressed sensing to reduce computational and storage complexity. Theoretical analysis shows that our proposal converges under mild assumptions, and the performance is validated on both synthetic and real-world datasets. |
| 资助项目 | National Key R&D Program of China[2018YFB1004300] ; National Science Foundation of China[61921006] ; Collaborative Innovation Center of Novel Software Technology and Industrialization |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000615042700010 |
| 出版者 | IEEE COMPUTER SOC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/58197]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Zhou, Zhi-Hua |
| 作者单位 | 1.Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 3.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA |
| 推荐引用方式 GB/T 7714 | Zhao, Peng,Wang, Xinqiang,Xie, Siyu,et al. Distribution-Free One-Pass Learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2021,33(3):951-963. |
| APA | Zhao, Peng,Wang, Xinqiang,Xie, Siyu,Guo, Lei,&Zhou, Zhi-Hua.(2021).Distribution-Free One-Pass Learning.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,33(3),951-963. |
| MLA | Zhao, Peng,et al."Distribution-Free One-Pass Learning".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 33.3(2021):951-963. |
入库方式： OAI收割
来源：数学与系统科学研究院
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