| 1999 |
|---|
| 9 | EE | Howard Hua Yang,
John E. Moody:
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data.
NIPS 1999: 687-702 |
| 8 | EE | Howard Hua Yang,
Hynek Hermansky:
Search for Information Bearing Components in Speech.
NIPS 1999: 803-812 |
| 1998 |
|---|
| 7 | | Howard Hua Yang,
Shun-ichi Amari:
Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons.
Neural Computation 10(8): 2137-2157 (1998) |
| 1997 |
|---|
| 6 | | Howard Hua Yang:
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring.
NIPS 1997 |
| 5 | | Howard Hua Yang,
Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule.
NIPS 1997 |
| 4 | EE | Howard Hua Yang,
Shun-ichi Amari:
Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information.
Neural Computation 9(7): 1457-1482 (1997) |
| 1996 |
|---|
| 3 | | Howard Hua Yang,
Shun-ichi Amari:
Two Gradient Descent Algorithms for Blind Signal Separation.
ICANN 1996: 287-292 |
| 1995 |
|---|
| 2 | EE | Shun-ichi Amari,
Noboru Murata,
Klaus-Robert Müller,
M. Finke,
Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?
NIPS 1995: 176-182 |
| 1 | EE | Shun-ichi Amari,
Andrzej Cichocki,
Howard Hua Yang:
A New Learning Algorithm for Blind Signal Separation.
NIPS 1995: 757-763 |
