| 2000 |
|---|
| 14 | | David A. Cohn,
Thomas Hofmann:
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity.
NIPS 2000: 430-436 |
| 1999 |
|---|
| 13 | | Michael J. Kearns,
Sara A. Solla,
David A. Cohn:
Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998]
The MIT Press 1999 |
| 1996 |
|---|
| 12 | EE | David A. Cohn:
Minimizing Statistical Bias with Queries.
NIPS 1996: 417-423 |
| 11 | EE | David A. Cohn,
Satinder P. Singh:
Predicting Lifetimes in Dynamically Allocated Memory.
NIPS 1996: 939-945 |
| 10 | EE | David A. Cohn,
Zoubin Ghahramani,
Michael I. Jordan:
Active Learning with Statistical Models
CoRR cs.AI/9603104: (1996) |
| 9 | | David A. Cohn,
Zoubin Ghahramani,
Michael I. Jordan:
Active Learning with Statistical Models.
J. Artif. Intell. Res. (JAIR) 4: 129-145 (1996) |
| 8 | EE | David A. Cohn:
Neural Network Exploration Using Optimal Experiment Design.
Neural Networks 9(6): 1071-1083 (1996) |
| 1994 |
|---|
| 7 | EE | David A. Cohn,
Zoubin Ghahramani,
Michael I. Jordan:
Active Learning with Statistical Models.
NIPS 1994: 705-712 |
| 6 | EE | David A. Cohn,
Eve A. Riskin,
Richard E. Ladner:
Theory and Practice of Vector Quantizers Trained on Small Training Sets.
IEEE Trans. Pattern Anal. Mach. Intell. 16(1): 54-65 (1994) |
| 5 | | David A. Cohn,
Les E. Atlas,
Richard E. Ladner:
Improving Generalization with Active Learning.
Machine Learning 15(2): 201-221 (1994) |
| 1993 |
|---|
| 4 | EE | David A. Cohn:
Robot Learning: Exploration and Continuous Domains.
NIPS 1993: 1169-1170 |
| 3 | EE | David A. Cohn:
Neural Network Exploration Using Optimal Experiment Design.
NIPS 1993: 679-686 |
| 1990 |
|---|
| 2 | EE | David A. Cohn,
Gerald Tesauro:
Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds?
NIPS 1990: 911-917 |
| 1989 |
|---|
| 1 | EE | Les E. Atlas,
David A. Cohn,
Richard E. Ladner:
Training Connectionist Networks with Queries and Selective Sampling.
NIPS 1989: 566-573 |
