| 2008 |
|---|
| 11 | EE | Anand Sharma,
Anthony Kuh:
Class document frequency as a learned feature for text categorization.
IJCNN 2008: 2988-2993 |
| 2007 |
|---|
| 10 | EE | Anthony Kuh,
Philippe De Wilde:
Comments on "Pruning Error Minimization in Least Squares Support Vector Machines".
IEEE Transactions on Neural Networks 18(2): 606-609 (2007) |
| 2006 |
|---|
| 9 | EE | Anthony Kuh,
Chaopin Zhu,
Danilo P. Mandic:
Sensor Network Localization Using Least Squares Kernel Regression.
KES (3) 2006: 1280-1287 |
| 2005 |
|---|
| 8 | EE | Danilo P. Mandic,
Dragan Obradovic,
Anthony Kuh,
Tülay Adali,
Udo Trutschel,
Martin Golz,
Philippe De Wilde,
Javier A. Barria,
Anthony Constantinides,
Jonathon A. Chambers:
Data Fusion for Modern Engineering Applications: An Overview.
ICANN (2) 2005: 715-721 |
| 2004 |
|---|
| 7 | EE | Chengan Guo,
Anthony Kuh:
An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations.
ISNN (1) 2004: 370-376 |
| 1997 |
|---|
| 6 | EE | Xiaodong Tian,
Anthony Kuh:
Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary.
Neural Networks 10(5): 897-906 (1997) |
| 1995 |
|---|
| 5 | | Meina Xu,
Anthony Kuh:
Unsupervised Learning Applied to Image Coding.
ISCAS 1995: 1632-1635 |
| 1991 |
|---|
| 4 | EE | Anthony Kuh,
Thomas Petsche,
Ronald L. Rivest:
Incrementally Learning Time-Varying Half Planes.
NIPS 1991: 920-927 |
| 1990 |
|---|
| 3 | EE | Anthony Kuh,
Thomas Petsche,
Ronald L. Rivest:
Learning Time-Varying Concepts.
NIPS 1990: 183-189 |
| 1989 |
|---|
| 2 | | Anthony Kuh,
Bradley W. Dickinson:
Information capacity of associative memories.
IEEE Transactions on Information Theory 35(1): 59-68 (1989) |
| 1987 |
|---|
| 1 | EE | Anthony Kuh:
Performance Measures for Associative Memories that Learn and Forget.
NIPS 1987: 432-441 |
