Clint Scovel - RankMe

31 papers A* 4Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2021	J	`jnl`	Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
2019	J	`jnl`	Kernel Mode Decomposition and programmable/interpretable regression networks. CoRR Houman Owhadi, Clint Scovel, Gene Ryan Yoo
2015	J	`jnl`	Machine Wald. CoRR Houman Owhadi, Clint Scovel
2015	J	`jnl`	On the Brittleness of Bayesian Inference. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan
2013	J	`jnl`	Optimal Uncertainty Quantification. SIAM Rev. Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2012	J	`jnl`	The Optimal Uncertainty Algorithm in the Mystic Framework CoRR Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz
2011	J	`jnl`	Training SVMs Without Offset. J. Mach. Learn. Res. Ingo Steinwart, Don R. Hush, Clint Scovel
2010	J	`jnl`	Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. James Theiler, Clint Scovel, Brendt Wohlberg, Bernard R. Foy
2010	J	`jnl`	Optimal Uncertainty Quantification CoRR Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
2010	J	`jnl`	Radial kernels and their reproducing kernel Hilbert spaces. J. Complex. Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler
2009	J	`jnl`	Learning from dependent observations. J. Multivar. Anal. Ingo Steinwart, Don R. Hush, Clint Scovel
2009	A*	`conf`	Optimal Rates for Regularized Least Squares Regression. COLT Ingo Steinwart, Don R. Hush, Clint Scovel
2009	—	`conf`	Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. Computational Imaging James Theiler, Clint Scovel
2007	A*	`conf`	Gaps in Support Vector Optimization. COLT Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart
2007	J	`jnl`	Stability of Unstable Learning Algorithms. Mach. Learn. Don R. Hush, Clint Scovel, Ingo Steinwart
2006	J	`jnl`	An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels. IEEE Trans. Inf. Theory Ingo Steinwart, Don R. Hush, Clint Scovel
2006	—	`conf`	An Oracle Inequality for Clipped Regularized Risk Minimizers. NIPS Ingo Steinwart, Don R. Hush, Clint Scovel
2006	A*	`conf`	Function Classes That Approximate the Bayes Risk. COLT Ingo Steinwart, Don R. Hush, Clint Scovel
2006	J	`jnl`	QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines. J. Mach. Learn. Res. Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart
2005	J	`jnl`	A Classification Framework for Anomaly Detection. J. Mach. Learn. Res. Ingo Steinwart, Don R. Hush, Clint Scovel
2005	A*	`conf`	Fast Rates for Support Vector Machines. COLT Ingo Steinwart, Clint Scovel
2004	—	`conf`	Density Level Detection is Classification. NIPS Ingo Steinwart, Don R. Hush, Clint Scovel
2004	—	`conf`	Fast Rates to Bayes for Kernel Machines. NIPS Ingo Steinwart, Clint Scovel
2004	J	`jnl`	Fat-Shattering of Affine Functions. Comb. Probab. Comput. Don R. Hush, Clint Scovel
2003	J	`jnl`	Polynomial-Time Decomposition Algorithms for Support Vector Machines. Mach. Learn. Don R. Hush, Clint Scovel
2003	J	`jnl`	Selecting a restoration technique to minimize OCR error. IEEE Trans. Neural Networks Mike Cannon, Mike Fugate, Don R. Hush, Clint Scovel
2002	J	`jnl`	Machine Learning with Data Dependent Hypothesis Classes. J. Mach. Learn. Res. Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel
2001	J	`jnl`	On the VC Dimension of Bounded Margin Classifiers. Mach. Learn. Don R. Hush, Clint Scovel
1998	J	`jnl`	Bayesian Stratified Sampling to Assess Corpus Utility CoRR Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall
1998	—	`conf`	Bayesian Stratified Sampling to Assess Corpus Utility. VLC@COLING/ACL Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall