Book
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Submitted
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Accepted
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2009
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2008
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2007
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2006
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I. Steinwart, D. Hush, and C. Scovel
Function classes that approximate the Bayes risk.
In
Proceedings of the 19th Conference on Learning Theory (COLT 2006),
Pittsburgh, USA, 2006.
Los Alamos National Laboratory Technical Report LA-UR-06-0365.
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2005
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2004
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I. Steinwart and C. Scovel,
When do Support Vector Machines Learn Fast?
16th International Symposium on Mathematical Theory of Networks and Systems,
2004.
I. Steinwart,
Entropy of Convex Hulls---some Lorentz Norm Results.
J. Approx. Theory, Vol. 5, pp. 42-52, 2004.
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2003
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I. Steinwart,
On the Optimal Parameter Choice in $\nu$-Support Vector Machines.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, pp. 1274-1284, 2003.
K. Mittmann and I. Steinwart,
On the Existence of Continuous Modifications of Vector Valued Random Fields.
Journal of the Georgian Mathematical Society, Vol. 10, pp. 311-317, 2003.
I. Steinwart,
Entropy Numbers of Convex Hulls and an Application to Learning Algorithms.
Arch. Math., Vol. 80, pp. 310-318, 2003.
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2002
I. Steinwart,
Support Vector Machines are Universally Consistent.
J. Complexity, Vol. 18, pp. 768-791, 2002.
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J. Creutzig and I. Steinwart,
Metric Entropy of Convex Hulls in Type p Spaces---the Critical Case.
Proc. Amer. Math. Soc., Vol. 130, pp. 733-743, 2002.
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I. Steinwart,
Which Data-Dependent Bounds are Suitable for SVM's?.
Technical Report, 2002.
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2001
I. Steinwart,
On the Influence of the Kernel on the Consistency of Support Vector Machines.
Journal of Machine Learning Research, Vol. 2, pp. 67-93, 2001.
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2000
I. Steinwart,
Entropy of C(K)-Valued Operators and some Applications.
Dissertation, Friedrich-Schiller-University Jena, 2000.
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I. Steinwart,
Entropy of C(K)-Valued Operators.
J. Approx. Theory, Vol. 103, pp. 302-328, 2000.
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1997
I. Steinwart,
Gewichtete Normungleichungen fuer Operatoren zwischen Raeumen
Bochner-integrierbarer Funktionen.
Diploma Thesis, Carl-von-Ossietzky University Oldenburg, 1997.
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