Abstract
The f-ICA was derived from the minimization of the convex divergence. Software implementations showed remarkable speed as a gradient descent type. This was due to the effective use of past and/or future data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Joint Conference on Neural Networks |
| Pages | 412-417 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 2001 |
| Event | International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC Duration: 2001 Jul 15 → 2001 Jul 19 |
Other
| Other | International Joint Conference on Neural Networks (IJCNN'01) |
|---|---|
| City | Washington, DC |
| Period | 01/7/15 → 01/7/19 |
ASJC Scopus subject areas
- Software