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## Search the dblp DataBase
Don R. Hush:
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## Publications of Author- 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] - 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] - 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] - 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] - Don R. Hush, Fernando Lozano, Bill G. Horne
**Function Approximation with the Sweeping Hinge Algorithm.**[Citation Graph (0, 0)][DBLP] NIPS, 1997, pp:- [Conf] - Ingo Steinwart, Don R. Hush, Clint Scovel
**Density Level Detection is Classification.**[Citation Graph (0, 0)][DBLP] NIPS, 2004, pp:- [Conf] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] **Multiple instance learning using simple classifiers.**[Citation Graph (, )][DBLP]**Stack Filter Classifiers.**[Citation Graph (, )][DBLP]
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