David A. Cohn

David A. Cohn, Thomas Hofmann: The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. NIPS 2000: 430-436

Michael J. Kearns, Sara A. Solla, David A. Cohn (Eds.): Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998]. The MIT Press 1999, isbn 0-262-11245-0

David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. J. Artif. Intell. Res. (JAIR) 4: 129-145 (1996)

David A. Cohn: Neural Network Exploration Using Optimal Experiment Design. Neural Networks 9(6): 1071-1083 (1996)

David A. Cohn: Minimizing Statistical Bias with Queries. NIPS 1996: 417-423

David A. Cohn, Satinder P. Singh: Predicting Lifetimes in Dynamically Allocated Memory. NIPS 1996: 939-945

David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. CoRR cs.AI/9603104 (1996)

David A. Cohn, Les E. Atlas, Richard E. Ladner: Improving Generalization with Active Learning. Machine Learning 15(2): 201-221 (1994)

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)

David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. NIPS 1994: 705-712

David A. Cohn: Neural Network Exploration Using Optimal Experiment Design. NIPS 1993: 679-686

David A. Cohn: Robot Learning: Exploration and Continuous Domains. NIPS 1993: 1169-1170

David A. Cohn, Gerald Tesauro: How Tight Are the Vapnik-Chervonenkis Bounds? Neural Computation 4(2): 249-269 (1992)

David A. Cohn, Gerald Tesauro: Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? NIPS 1990: 911-917

Les E. Atlas, David A. Cohn, Richard E. Ladner: Training Connectionist Networks with Queries and Selective Sampling. NIPS 1989: 566-573