Clint Scovel

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 5

Top Topics

Bayesian Inference

Top Venues

J. Comput. Phys.

Publications

Hamed Hamze Bajgiran, Pau Batlle, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. J. Comput. Phys. 471 (2022)
Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. CoRR (2021)
Houman Owhadi, Clint Scovel, Gene Ryan Yoo
Kernel Mode Decomposition and programmable/interpretable regression networks. CoRR (2019)
Houman Owhadi, Clint Scovel, Timothy John Sullivan
On the Brittleness of Bayesian Inference. SIAM Rev. 57 (4) (2015)
Houman Owhadi, Clint Scovel
Machine Wald. CoRR (2015)
Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
Optimal Uncertainty Quantification. SIAM Rev. 55 (2) (2013)
Mike McKerns, Houman Owhadi, Clint Scovel, Timothy John Sullivan, Michael Ortiz
The Optimal Uncertainty Algorithm in the Mystic Framework CoRR (2012)
Ingo Steinwart, Don R. Hush, Clint Scovel
Training SVMs Without Offset. J. Mach. Learn. Res. 12 (2011)
Houman Owhadi, Clint Scovel, Timothy John Sullivan, Mike McKerns, Michael Ortiz
Optimal Uncertainty Quantification CoRR (2010)
Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler
Radial kernels and their reproducing kernel Hilbert spaces. J. Complex. 26 (6) (2010)
James Theiler, Clint Scovel, Brendt Wohlberg, Bernard R. Foy
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 7 (2) (2010)
James Theiler, Clint Scovel
Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. Computational Imaging (2009)
Ingo Steinwart, Don R. Hush, Clint Scovel
Learning from dependent observations. J. Multivar. Anal. 100 (1) (2009)
Ingo Steinwart, Don R. Hush, Clint Scovel
Optimal Rates for Regularized Least Squares Regression. COLT (2009)
Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart
Gaps in Support Vector Optimization. COLT (2007)
Don R. Hush, Clint Scovel, Ingo Steinwart
Stability of Unstable Learning Algorithms. Mach. Learn. 67 (3) (2007)
Ingo Steinwart, Don R. Hush, Clint Scovel
An Oracle Inequality for Clipped Regularized Risk Minimizers. NIPS (2006)
Ingo Steinwart, Don R. Hush, Clint Scovel
An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels. IEEE Trans. Inf. Theory 52 (10) (2006)
Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines. J. Mach. Learn. Res. 7 (2006)
Ingo Steinwart, Don R. Hush, Clint Scovel
Function Classes That Approximate the Bayes Risk. COLT (2006)
Ingo Steinwart, Don R. Hush, Clint Scovel
A Classification Framework for Anomaly Detection. J. Mach. Learn. Res. 6 (2005)
Ingo Steinwart, Clint Scovel
Fast Rates for Support Vector Machines. COLT (2005)
Ingo Steinwart, Clint Scovel
Fast Rates to Bayes for Kernel Machines. NIPS (2004)
Don R. Hush, Clint Scovel
Fat-Shattering of Affine Functions. Comb. Probab. Comput. 13 (3) (2004)
Ingo Steinwart, Don R. Hush, Clint Scovel
Density Level Detection is Classification. NIPS (2004)
Mike Cannon, Mike Fugate, Don R. Hush, Clint Scovel
Selecting a restoration technique to minimize OCR error. IEEE Trans. Neural Networks 14 (3) (2003)
Don R. Hush, Clint Scovel
Polynomial-Time Decomposition Algorithms for Support Vector Machines. Mach. Learn. 51 (1) (2003)
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel
Machine Learning with Data Dependent Hypothesis Classes. J. Mach. Learn. Res. 2 (2002)
Don R. Hush, Clint Scovel
On the VC Dimension of Bounded Margin Classifiers. Mach. Learn. 45 (1) (2001)
Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall
Bayesian Stratified Sampling to Assess Corpus Utility. VLC@COLING/ACL (1998)
Judith Hochberg, Clint Scovel, Timothy Thomas, Sam Hall
Bayesian Stratified Sampling to Assess Corpus Utility CoRR (1998)