2007 |
15 | EE | Nikolas List,
Don R. Hush,
Clint Scovel,
Ingo Steinwart:
Gaps in Support Vector Optimization.
COLT 2007: 336-348 |
14 | EE | Don R. Hush,
Clint Scovel,
Ingo Steinwart:
Stability of Unstable Learning Algorithms.
Machine Learning 67(3): 197-206 (2007) |
2006 |
13 | EE | Ingo Steinwart,
Don R. Hush,
Clint Scovel:
Function Classes That Approximate the Bayes Risk.
COLT 2006: 79-93 |
12 | EE | Ingo Steinwart,
Don R. Hush,
Clint Scovel:
An Oracle Inequality for Clipped Regularized Risk Minimizers.
NIPS 2006: 1321-1328 |
11 | EE | 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 52(10): 4635-4643 (2006) |
10 | EE | 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 7: 733-769 (2006) |
2005 |
9 | EE | Ingo Steinwart,
Clint Scovel:
Fast Rates for Support Vector Machines.
COLT 2005: 279-294 |
8 | EE | Ingo Steinwart,
Don R. Hush,
Clint Scovel:
A Classification Framework for Anomaly Detection.
Journal of Machine Learning Research 6: 211-232 (2005) |
2004 |
7 | EE | Ingo Steinwart,
Don R. Hush,
Clint Scovel:
Density Level Detection is Classification.
NIPS 2004 |
6 | EE | Ingo Steinwart,
Clint Scovel:
Fast Rates to Bayes for Kernel Machines.
NIPS 2004 |
5 | | Don R. Hush,
Clint Scovel:
Fat-Shattering of Affine Functions.
Combinatorics, Probability & Computing 13(3): 353-360 (2004) |
2003 |
4 | | Don R. Hush,
Clint Scovel:
Polynomial-Time Decomposition Algorithms for Support Vector Machines.
Machine Learning 51(1): 51-71 (2003) |
2002 |
3 | EE | Adam Cannon,
J. Mark Ettinger,
Don R. Hush,
Clint Scovel:
Machine Learning with Data Dependent Hypothesis Classes.
Journal of Machine Learning Research 2: 335-358 (2002) |
2001 |
2 | | Don R. Hush,
Clint Scovel:
On the VC Dimension of Bounded Margin Classifiers.
Machine Learning 45(1): 33-44 (2001) |
1998 |
1 | EE | Judith Hochberg,
Clint Scovel,
Timothy Thomas,
Sam Hall:
Bayesian Stratified Sampling to Assess Corpus Utility
CoRR cmp-lg/9806012: (1998) |