Name
Abstract | ||
|---|---|---|
One of the salient features of the extreme learning machine (ELM) is its fast learning speed. However, in a big data environment, the ELM still suffers from an overly heavy computational load due to the high dimensionality and the large amount of data. Using the alternating direction method of multipliers (ADMM), a convex model fitting problem can be split into a set of concurrently executable sub... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2927385 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Convex functions,Convergence,Training,Acceleration,Standards,Approximation algorithms,Complexity theory | Journal | 31 |
Issue | ISSN | Citations |
6 | 2162-237X | 4 |
PageRank | References | Authors |
0.44 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoping Lai | 1 | 9 | 2.92 |
| Jiuwen Cao | 2 | 178 | 18.99 |
| Xiaofeng Huang | 3 | 8 | 4.90 |
| Tianlei Wang | 4 | 34 | 9.77 |
| Zhiping Lin | 5 | 839 | 83.62 |