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Clint Scovel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. Ingo Steinwart, Clint Scovel
    Fast Rates for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:279-294 [Conf]
  3. Ingo Steinwart, Don R. Hush, Clint Scovel
    Density Level Detection is Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  4. Ingo Steinwart, Clint Scovel
    Fast Rates to Bayes for Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall
    Bayesian Stratified Sampling to Assess Corpus Utility [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]

  16. Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. [Citation Graph (, )][DBLP]


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