Scovel, Clint

14 publications

JMLR 2011 Training SVMs Without Offset Ingo Steinwart, Don Hush, Clint Scovel

COLT 2009 Optimal Rates for Regularized Least Squares Regression Ingo Steinwart, Don R. Hush, Clint Scovel

COLT 2007 Gaps in Support Vector Optimization Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart

MLJ 2007 Stability of Unstable Learning Algorithms Don R. Hush, Clint Scovel, Ingo Steinwart

NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers Ingo Steinwart, Don Hush, Clint Scovel

COLT 2006 Function Classes That Approximate the Bayes Risk Ingo Steinwart, Don R. Hush, Clint Scovel

JMLR 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines Don Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart

JMLR 2005 A Classification Framework for Anomaly Detection Ingo Steinwart, Don Hush, Clint Scovel

COLT 2005 Fast Rates for Support Vector Machines Ingo Steinwart, Clint Scovel

NeurIPS 2004 Density Level Detection Is Classification Ingo Steinwart, Don Hush, Clint Scovel

NeurIPS 2004 Fast Rates to Bayes for Kernel Machines Ingo Steinwart, Clint Scovel

MLJ 2003 Polynomial-Time Decomposition Algorithms for Support Vector Machines Don R. Hush, Clint Scovel

JMLR 2002 Machine Learning with Data Dependent Hypothesis Classes Adam Cannon, J. Mark Ettinger, Don Hush, Clint Scovel

MLJ 2001 On the VC Dimension of Bounded Margin Classifiers Don R. Hush, Clint Scovel