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Don R. Hush: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Patrick M. Kelly, T. Michael Cannon, Don R. Hush
    Query by Image Example: The Comparison Algorithm for Navigating Digital Image Databases (CANDID) Approach. [Citation Graph (1, 0)][DBLP]
    Storage and Retrieval for Image and Video Databases (SPIE), 1995, pp:238-248 [Conf]
  2. Ingo Steinwart, Don R. Hush, Clint Scovel
    Function Classes That Approximate the Bayes Risk. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:79-93 [Conf]
  3. Reid B. Porter, Damian Eads, Don R. Hush, James Theiler
    Weighted Order Statistic Classifiers with Large Rank-Order Margin. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:600-607 [Conf]
  4. Bill G. Horne, Don R. Hush
    Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:359-366 [Conf]
  5. Don R. Hush, Fernando Lozano, Bill G. Horne
    Function Approximation with the Sweeping Hinge Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  6. Ingo Steinwart, Don R. Hush, Clint Scovel
    Density Level Detection is Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Don R. Hush, Clint Scovel
    Fat-Shattering of Affine Functions. [Citation Graph (0, 0)][DBLP]
    Combinatorics, Probability & Computing, 2004, v:13, n:3, pp:353-360 [Journal]
  8. Timothy Draelos, Don R. Hush
    A Constructive Neural Network Algorithm for Function Approximation Using Locally Fit Sigmoids. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 1998, v:7, n:2, pp:373-398 [Journal]
  9. Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel
    Machine Learning with Data Dependent Hypothesis Classes. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:335-358 [Journal]
  10. Ingo Steinwart, Don R. Hush, Clint Scovel
    A Classification Framework for Anomaly Detection. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:211-232 [Journal]
  11. Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart
    QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:733-769 [Journal]
  12. Don R. Hush, Clint Scovel
    On the VC Dimension of Bounded Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:45, n:1, pp:33-44 [Journal]
  13. Don R. Hush, Clint Scovel
    Polynomial-Time Decomposition Algorithms for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:1, pp:51-71 [Journal]
  14. Don R. Hush
    Training a Sigmoidal Node Is Hard. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:5, pp:1249-1260 [Journal]
  15. Bill G. Horne, Don R. Hush
    On the node complexity of neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:9, pp:1413-1426 [Journal]
  16. Bill G. Horne, Don R. Hush
    Bounds on the complexity of recurrent neural network implementations of finite state machines. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:2, pp:243-252 [Journal]
  17. Mary M. Moya, Don R. Hush
    Network constraints and multi-objective optimization for one-class classification. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:3, pp:463-474 [Journal]
  18. Ingo Steinwart, Don R. Hush, Clint Scovel
    An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:10, pp:4635-4643 [Journal]
  19. Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart
    Gaps in Support Vector Optimization. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:336-348 [Conf]
  20. Ingo Steinwart, Don R. Hush, Clint Scovel
    An Oracle Inequality for Clipped Regularized Risk Minimizers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1321-1328 [Conf]
  21. Don R. Hush, Clint Scovel, Ingo Steinwart
    Stability of Unstable Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:67, n:3, pp:197-206 [Journal]

  22. Multiple instance learning using simple classifiers. [Citation Graph (, )][DBLP]


  23. Stack Filter Classifiers. [Citation Graph (, )][DBLP]


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