Searching for authors named "Ingo Steinwart" – sorted by Relevance.
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Some Estimates for the Entropy Numbers of Convex Hulls With Finitely Many Extreme Points
- Some estimates for the entropy numbers of convex hulls with nitely many extreme points Ingo
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How to compare different loss functions and their risks. Constr. Approx
- How to compare different loss functions and their risks Ingo Steinwart Modeling, Algorithms
- Cited by 3 (2 self) – Add To MetaCart
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On the Influence of the Kernel on the Generalization Ability of Support Vector Machines
- On the in uence of the kernel on the generalization ability of support vector machines Ingo
- Cited by 4 (2 self) – Add To MetaCart
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On the Generalization Ability of Support Vector Machines
- On the generalization ability of support vector machines Ingo Steinwart Friedrich
- Cited by 8 (1 self) – Add To MetaCart
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Sparseness of support vector machines—some asymptotically sharp bounds
- Sparseness of Support Vector Machines—Some Asymptotically Sharp Bounds Ingo Steinwart Modeling
- Cited by 4 (0 self) – Add To MetaCart
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On the Influence of the Kernel on the Consistency of Support Vector Machines
- /01 On the Influence of the Kernel on the Consistency of Support Vector Machines Ingo Steinwart steinwart
- Cited by 62 (13 self) – Add To MetaCart
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Metric Entropy of Convex Hulls in Type p spaces - the Critical Case
- Metric Entropy of Convex Hulls in Type p spaces { the Critical Case Jakob Creutzig and Ingo
- Cited by 2 (0 self) – Add To MetaCart
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Fast Rates to Bayes for Kernel Methods
- Fast Rates to Bayes for Kernel Methods Ingo Steinwart ∗ and Clint Scovel Modeling, Algorithms
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Fast rates for support vector machines using gaussian kernels
- Fast Rates for Support Vector Machines using Gaussian Kernels ∗†‡ Ingo Steinwart and Clint Scovel
- Cited by 16 (6 self) – Add To MetaCart
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On robust properties of convex risk minimization methods for pattern recognition
- Dortmund, GERMANY Ingo Steinwart ingo@(email omitted); Modeling, Algorithms and Informatics Group, CCS-3 Mail Stop
- Cited by 9 (5 self) – Add To MetaCart

