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Halbert White: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mark Plutowski, Garrison W. Cottrell, Halbert White
    Learning Mackey-Glass from 25 Examples, Plus or Minus 2. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1135-1142 [Conf]
  2. Mark Plutowski, Shinichi Sakata, Halbert White
    Cross-Validation Estimates ISME. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:391-398 [Conf]
  3. William G. Baxt, Halbert White
    Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:3, pp:624-638 [Journal]
  4. Valentina Corradi, Halbert White
    Regularized neural networks: some convergence rate results. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:6, pp:1225-1244 [Journal]
  5. A. Ronald Gallant, Halbert White
    On learning the derivatives of an unknown mapping with multilayer feedforward networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:129-138 [Journal]
  6. Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
    Multilayer feedforward networks are universal approximators. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1989, v:2, n:5, pp:359-366 [Journal]
  7. Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
    Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1990, v:3, n:5, pp:551-560 [Journal]
  8. Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
    Letters to the editor. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:1, pp:3- [Journal]
  9. Mark Plutowski, Garrison W. Cottrell, Halbert White
    Experience with selecting exemplars from clean data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:2, pp:273-294 [Journal]
  10. Halbert White
    Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1990, v:3, n:5, pp:535-549 [Journal]
  11. Xiaohong Chen, Halbert White
    Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:2, pp:682-691 [Journal]
  12. Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White
    Sup-norm approximation bounds for networks through probabilistic methods. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1995, v:41, n:4, pp:1021-1027 [Journal]

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