Search results for "Ingo Steinwart"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Bharath K. Sriperumbudur, Ingo Steinwart	Consistency and Rates for Clustering with DBSCAN.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ingo Steinwart	Adaptive Density Level Set Clustering.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Training SVMs Without Offset.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Mona Eberts, Ingo Steinwart	Optimal learning rates for least squares SVMs using Gaussian kernels.	NIPS	2011	DBLP BibTeX RDF
1	Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler	Radial kernels and their reproducing kernel Hilbert spaces.	J. Complexity	2010	DBLP DOI BibTeX RDF
1	Ingo Steinwart, James Theiler, Daniel Llamocca	Using support vector machines for anomalous change detection.	IGARSS	2010	DBLP DOI BibTeX RDF
1	Andreas Christmann, Ingo Steinwart	Universal Kernels on Non-Standard Input Spaces.	NIPS	2010	DBLP BibTeX RDF
1	Ingo Steinwart	Oracle inequalities for support vector machines that are based on random entropy numbers.	J. Complexity	2009	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Learning from dependent observations.	J. Multivariate Analysis	2009	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Optimal Rates for Regularized Least Squares Regression.	COLT	2009	DBLP BibTeX RDF
1	Ingo Steinwart, Andreas Christmann	Fast Learning from Non-i.i.d. Observations.	NIPS	2009	DBLP BibTeX RDF
1	Ingo Steinwart, Andreas Christmann	Sparsity of SVMs that use the epsilon-insensitive loss.	NIPS	2008	DBLP BibTeX RDF
1	Andreas Christmann, Ingo Steinwart, Mia Hubert	Robust learning from bites for data mining.	Computational Statistics & Data Analysis	2007	DBLP DOI BibTeX RDF
1	Don R. Hush, Clint Scovel, Ingo Steinwart	Stability of Unstable Learning Algorithms.	Machine Learning	2007	DBLP DOI BibTeX RDF	Learning, Stability, Generalization
1	Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart	Gaps in Support Vector Optimization.	COLT	2007	DBLP DOI BibTeX RDF
1	Andreas Christmann, Ingo Steinwart	How SVMs can estimate quantiles and the median.	NIPS	2007	DBLP BibTeX RDF
1	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	2006	DBLP BibTeX RDF
1	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	2006	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Function Classes That Approximate the Bayes Risk.	COLT	2006	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	An Oracle Inequality for Clipped Regularized Risk Minimizers.	NIPS	2006	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	A Classification Framework for Anomaly Detection.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Ingo Steinwart	Consistency of support vector machines and other regularized kernel classifiers.	IEEE Transactions on Information Theory	2005	DBLP DOI BibTeX RDF
1	Ingo Steinwart, Clint Scovel	Fast Rates for Support Vector Machines.	COLT	2005	DBLP DOI BibTeX RDF
1	Ingo Steinwart	Entropy of convex hulls--some Lorentz norm results.	Journal of Approximation Theory	2004	DBLP DOI BibTeX RDF
1	Andreas Christmann, Ingo Steinwart	On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition.	Journal of Machine Learning Research	2004	DBLP BibTeX RDF
1	Ingo Steinwart, Don R. Hush, Clint Scovel	Density Level Detection is Classification.	NIPS	2004	DBLP BibTeX RDF
1	Ingo Steinwart, Clint Scovel	Fast Rates to Bayes for Kernel Machines.	NIPS	2004	DBLP BibTeX RDF
1	Ingo Steinwart	On the Optimal Parameter Choice for v-Support Vector Machines.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	Pattern recognition, support vector machines, parameter selection, PAC model
1	Ingo Steinwart	Sparseness of Support Vector Machines.	Journal of Machine Learning Research	2003	DBLP BibTeX RDF
1	Ingo Steinwart	Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds.	NIPS	2003	DBLP BibTeX RDF
1	Ingo Steinwart	Support Vector Machines are Universally Consistent.	J. Complexity	2002	DBLP DOI BibTeX RDF
1	Ingo Steinwart	On the Influence of the Kernel on the Consistency of Support Vector Machines.	Journal of Machine Learning Research	2001	DBLP BibTeX RDF

Publications of "Ingo Steinwart" ( http://dblp.L3S.de/Authors/Ingo_Steinwart )