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David A. Cohn: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Les E. Atlas, David A. Cohn, Richard E. Ladner
    Training Connectionist Networks with Queries and Selective Sampling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:566-573 [Conf]
  2. David A. Cohn
    Neural Network Exploration Using Optimal Experiment Design. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:679-686 [Conf]
  3. David A. Cohn
    Robot Learning: Exploration and Continuous Domains. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1169-1170 [Conf]
  4. David A. Cohn
    Minimizing Statistical Bias with Queries. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:417-423 [Conf]
  5. David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
    Active Learning with Statistical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:705-712 [Conf]
  6. David A. Cohn, Thomas Hofmann
    The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:430-436 [Conf]
  7. David A. Cohn, Satinder P. Singh
    Predicting Lifetimes in Dynamically Allocated Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:939-945 [Conf]
  8. David A. Cohn, Gerald Tesauro
    Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:911-917 [Conf]
  9. David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
    Active Learning with Statistical Models [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  10. David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
    Active Learning with Statistical Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1996, v:4, n:, pp:129-145 [Journal]
  11. David A. Cohn, Les E. Atlas, Richard E. Ladner
    Improving Generalization with Active Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:15, n:2, pp:201-221 [Journal]
  12. David A. Cohn
    Neural Network Exploration Using Optimal Experiment Design. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:6, pp:1071-1083 [Journal]
  13. David A. Cohn, Eve A. Riskin, Richard E. Ladner
    Theory and Practice of Vector Quantizers Trained on Small Training Sets. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:1, pp:54-65 [Journal]

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