Training Connectionist Networks with Queries and Selective Sampling. - Les E. Atlas; David A. Cohn; Richard E. Ladner (NIPS, 1989)

Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? - David A. Cohn; Gerald Tesauro (NIPS, 1990)

How Tight Are the Vapnik-Chervonenkis Bounds? - David A. Cohn; Gerald Tesauro (Neural Comput., 1992)

Robot Learning: Exploration and Continuous Domains. - David A. Cohn (NIPS, 1993)

Improving Generalization with Active Learning. - David A. Cohn; Les E. Atlas; Richard E. Ladner (Mach. Learn., 1994)

Theory and Practice of Vector Quantizers Trained on Small Training Sets. - David A. Cohn; Eve A. Riskin; Richard E. Ladner (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Minimizing Statistical Bias with Queries. - David A. Cohn (NIPS, 1996)

Predicting Lifetimes in Dynamically Allocated Memory. - David A. Cohn; Satinder Singh 001 (NIPS, 1996)

Active Learning with Statistical Models. - David A. Cohn; Zoubin Ghahramani; Michael I. Jordan (J. Artif. Intell. Res., 1996)

Neural Network Exploration Using Optimal Experiment Design. - David A. Cohn (Neural Networks, 1996)

The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. - David A. Cohn; Thomas Hofmann 001 (NIPS, 2000)