Search results for "Clint Scovel"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Mike McKerns, Houman Owhadi, Clint Scovel, T. J. Sullivan, Michael Ortiz	The Optimal Uncertainty Algorithm in the Mystic Framework	CoRR	2012	DBLP 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	Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz	Optimal Uncertainty Quantification	CoRR	2010	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Learning from dependent observations.	J. Multivariate Analysis	2009	DBLP DOI BibTeX RDF
1	James Theiler, Clint Scovel	Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery.	Computational Imaging	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	Ingo Steinwart, Clint Scovel	Fast Rates for Support Vector Machines.	COLT	2005	DBLP DOI BibTeX RDF
1	Don R. Hush, Clint Scovel	Fat-Shattering of Affine Functions.	Combinatorics, Probability & Computing	2004	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Density Level Detection is Classification.	NIPS	2004	DBLP BibTeX RDF
1	Ingo Steinwart, Clint Scovel	Fast Rates to Bayes for Kernel Machines.	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	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	Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall	Bayesian Stratified Sampling to Assess Corpus Utility	CoRR	1998	DBLP BibTeX RDF

Publications of "Clint Scovel" ( http://dblp.L3S.de/Authors/Clint_Scovel )