Search results for "Don R. Hush"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	G. Beate Zimmer, Don R. Hush, Reid B. Porter	Ordered Hypothesis Machines.	Journal of Mathematical Imaging and Vision	2012	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Training SVMs Without Offset.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler	Radial kernels and their reproducing kernel Hilbert spaces.	J. Complexity	2010	DBLP DOI BibTeX RDF
1	Don R. Hush, Reid B. Porter	Algorithms for optimal dyadic decision trees.	Machine Learning	2010	DBLP BibTeX RDF
1	James Theiler, Don R. Hush	Statistics for characterizing data on the periphery.	IGARSS	2010	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Learning from dependent observations.	J. Multivariate Analysis	2009	DBLP DOI BibTeX RDF
1	Reid B. Porter, G. Beate Zimmer, Don R. Hush	Stack Filter Classifiers.	ISMM	2009	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Optimal Rates for Regularized Least Squares Regression.	COLT	2009	DBLP BibTeX RDF
1	Don R. Hush, Clint Scovel, Ingo Steinwart	Stability of Unstable Learning Algorithms.	Machine Learning	2007	DBLP DOI BibTeX RDF	Learning, Stability, Generalization
1	Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart	Gaps in Support Vector Optimization.	COLT	2007	DBLP DOI BibTeX RDF
1	Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart	QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Function Classes That Approximate the Bayes Risk.	COLT	2006	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	An Oracle Inequality for Clipped Regularized Risk Minimizers.	NIPS	2006	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	A Classification Framework for Anomaly Detection.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Don R. Hush, Clint Scovel	Fat-Shattering of Affine Functions.	Combinatorics, Probability & Computing	2004	DBLP DOI BibTeX RDF
1	Adam Cannon, Don R. Hush	Multiple instance learning using simple classifiers.	ICMLA	2004	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Density Level Detection is Classification.	NIPS	2004	DBLP BibTeX RDF
1	Mike Cannon, Mike Fugate, Don R. Hush, Clint Scovel	Selecting a restoration technique to minimize OCR error.	IEEE Transactions on Neural Networks	2003	DBLP DOI BibTeX RDF
1	Don R. Hush, Clint Scovel	Polynomial-Time Decomposition Algorithms for Support Vector Machines.	Machine Learning	2003	DBLP DOI BibTeX RDF
1	Reid B. Porter, Damian Eads, Don R. Hush, James Theiler	Weighted Order Statistic Classifiers with Large Rank-Order Margin.	ICML	2003	DBLP BibTeX RDF
1	Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel	Machine Learning with Data Dependent Hypothesis Classes.	Journal of Machine Learning Research	2002	DBLP BibTeX RDF
1	Don R. Hush, Clint Scovel	On the VC Dimension of Bounded Margin Classifiers.	Machine Learning	2001	DBLP DOI BibTeX RDF
1	Don R. Hush	Training a Sigmoidal Node Is Hard.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Timothy Draelos, Don R. Hush	A Constructive Neural Network Algorithm for Function Approximation Using Locally Fit Sigmoids.	International Journal on Artificial Intelligence Tools	1998	DBLP DOI BibTeX RDF
1	Don R. Hush, Bill G. Horne	Efficient algorithms for function approximation with piecewise linear sigmoidal networks.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF
1	Don R. Hush, Fernando Lozano, Bill G. Horne	Function Approximation with the Sweeping Hinge Algorithm.	NIPS	1997	DBLP BibTeX RDF
1	Bill G. Horne, Don R. Hush	Bounds on the complexity of recurrent neural network implementations of finite state machines.	Neural Networks	1996	DBLP DOI BibTeX RDF
1	Mary M. Moya, Don R. Hush	Network constraints and multi-objective optimization for one-class classification.	Neural Networks	1996	DBLP DOI BibTeX RDF
1	Patrick M. Kelly, T. Michael Cannon, Don R. Hush	Query by Image Example: The Comparison Algorithm for Navigating Digital Image Databases (CANDID) Approach.	Storage and Retrieval for Image and Video Databases (SPIE)	1995	DBLP BibTeX RDF
1	Bill G. Horne, Don R. Hush	On the node complexity of neural networks.	Neural Networks	1994	DBLP DOI BibTeX RDF
1	Bill G. Horne, Don R. Hush	Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines.	NIPS	1993	DBLP BibTeX RDF

Publications of "Don R. Hush" ( http://dblp.L3S.de/Authors/Don_R._Hush )