《TABLE IIRLF’S TIME COST AS F INCREASES FROM 5 TO 80 ON D1》
提示:宽带有限、当前游客访问压缩模式
本系列图表出处文件名:随高清版一同展现
《Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications》
5) To summarize,when compared with state-of-the-art LF models,the proposed RLF and BRLF models achieve significantly higher computational efficiency as well as competitive prediction accuracy for missing data.Hence,they provide us with a novel,effective,and highly efficient approach to LF analysis of HiDS matrices.
图表编号 | XD0046938000 严禁用于非法目的 |
---|---|
绘制时间 | 2019.01.01 |
作者 | Mingsheng Shang、Xin Luo、Zhigang Liu、Jia Chen、Ye Yuan、MengChu Zhou |
绘制单位 | the Chongqing Engineering Research Center of Big Data Application for Smart Cities,and Chongqing Key Laboratory of Big Data and Intelligent Computing,Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences、IEEE、the Chongqing En |
更多格式 | 高清、无水印(增值服务) |
查看“TABLE IIRLF’S TIME COST AS F INCREASES FROM 5 TO 80 ON D1”的人还看了
- Table 1 Effect of ovarian preservation time on development capacity of oocytes from slaughtered sheep
- Table 3 Identification of Berberis spp.collected from Qinghai Province to serve as alternate hosts for Puccinia striifor
- Table 2 Distribution of changes in time-intensity curve parameters in tumors from day 0 to day 7for 20 hepatocellular ca