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 | 2012 | |
|---|---|---|
| j18 |      | Bharath K. Sriperumbudur, Ingo Steinwart: Consistency and Rates for Clustering with DBSCAN. Journal of Machine Learning Research - Proceedings Track 22: 1090-1098 (2012) |
| 2011 | ||
| j17 | | Ingo Steinwart, Don R. Hush, Clint Scovel: Training SVMs Without Offset. Journal of Machine Learning Research 12: 141-202 (2011) |
| j16 | | Ingo Steinwart: Adaptive Density Level Set Clustering. Journal of Machine Learning Research - Proceedings Track 19: 703-738 (2011) |
| c14 | | Mona Eberts, Ingo Steinwart: Optimal learning rates for least squares SVMs using Gaussian kernels. NIPS 2011: 1539-1547 |
| 2010 | ||
| j15 | | Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler: Radial kernels and their reproducing kernel Hilbert spaces. J. Complexity 26(6): 641-660 (2010) |
| c13 | | Ingo Steinwart, James Theiler, Daniel Llamocca: Using support vector machines for anomalous change detection. IGARSS 2010: 3732-3735 |
| c12 | | Andreas Christmann, Ingo Steinwart: Universal Kernels on Non-Standard Input Spaces. NIPS 2010: 406-414 |
| 2009 | ||
| j14 | | Ingo Steinwart: Oracle inequalities for support vector machines that are based on random entropy numbers. J. Complexity 25(5): 437-454 (2009) |
| j13 | | Ingo Steinwart, Don R. Hush, Clint Scovel: Learning from dependent observations. J. Multivariate Analysis 100(1): 175-194 (2009) |
| c11 | | Ingo Steinwart, Don R. Hush, Clint Scovel: Optimal Rates for Regularized Least Squares Regression. COLT 2009 |
| c10 | | Ingo Steinwart, Andreas Christmann: Fast Learning from Non-i.i.d. Observations. NIPS 2009: 1768-1776 |
| 2008 | ||
| c9 | | Ingo Steinwart, Andreas Christmann: Sparsity of SVMs that use the epsilon-insensitive loss. NIPS 2008: 1569-1576 |
| 2007 | ||
| j12 | | Andreas Christmann, Ingo Steinwart, Mia Hubert: Robust learning from bites for data mining. Computational Statistics & Data Analysis 52(1): 347-361 (2007) |
| j11 | | Don R. Hush, Clint Scovel, Ingo Steinwart: Stability of Unstable Learning Algorithms. Machine Learning 67(3): 197-206 (2007) |
| c8 | | Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart: Gaps in Support Vector Optimization. COLT 2007: 336-348 |
| c7 | | |
| 2006 | ||
| j10 | | 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) |
| j9 | | 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) |
| c6 | | Ingo Steinwart, Don R. Hush, Clint Scovel: Function Classes That Approximate the Bayes Risk. COLT 2006: 79-93 |
| c5 | | Ingo Steinwart, Don R. Hush, Clint Scovel: An Oracle Inequality for Clipped Regularized Risk Minimizers. NIPS 2006: 1321-1328 |
| 2005 | ||
| j8 | | Ingo Steinwart, Don R. Hush, Clint Scovel: A Classification Framework for Anomaly Detection. Journal of Machine Learning Research 6: 211-232 (2005) |
| j7 | | Ingo Steinwart: Consistency of support vector machines and other regularized kernel classifiers. IEEE Transactions on Information Theory 51(1): 128-142 (2005) |
| c4 | | |
| 2004 | ||
| j6 | | Ingo Steinwart: Entropy of convex hulls--some Lorentz norm results. Journal of Approximation Theory 128(1): 42-52 (2004) |
| j5 | | Andreas Christmann, Ingo Steinwart: On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition. Journal of Machine Learning Research 5: 1007-1034 (2004) |
| c3 | | |
| c2 | | |
| 2003 | ||
| j4 | | Ingo Steinwart: Sparseness of Support Vector Machines. Journal of Machine Learning Research 4: 1071-1105 (2003) |
| j3 | | Ingo Steinwart: On the Optimal Parameter Choice for v-Support Vector Machines. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1274-1284 (2003) |
| c1 | | |
| 2002 | ||
| j2 | | Ingo Steinwart: Support Vector Machines are Universally Consistent. J. Complexity 18(3): 768-791 (2002) |
| 2001 | ||
| j1 | | Ingo Steinwart: On the Influence of the Kernel on the Consistency of Support Vector Machines. Journal of Machine Learning Research 2: 67-93 (2001) |
| 1 | Andreas Christmann | |
| 2 | Mona Eberts | |
| 3 | Mia Hubert | |
| 4 | Don R. Hush | |
| 5 | Patrick Kelly | |
| 6 | Nikolas List | |
| 7 | Daniel Llamocca | |
| 8 | Clint Scovel | |
| 9 | Bharath K. Sriperumbudur | |
| 10 | James Theiler |
Colors in the list of coauthors
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