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» A PAC Bound for Approximate Support Vector Machines

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ML
2008
ACM

162views Machine Learning» more ML 2008»

Incorporating prior knowledge in support vector regression

13 years 7 months ago

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This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...

Fabien Lauer, Gérard Bloch

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DAGM
2005
Springer

86views Image Processing» more DAGM 2005»

Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification

14 years 26 days ago

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Matthias Rätsch, Sami Romdhani, Gerd Teschke,...

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PKDD
2009
Springer

88views Data Mining» more PKDD 2009»

Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs

14 years 1 months ago

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The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is ﬁ...

Huyen Do, Alexandros Kalousis, Melanie Hilario

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COLT
2003
Springer

121views Machine Learning» more COLT 2003»

Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem

14 years 17 days ago

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We consider the Multi-armed bandit problem under the PAC (“probably approximately correct”) model. It was shown by Even-Dar et al. [5] that given n arms, it suﬃces to play th...

Shie Mannor, John N. Tsitsiklis

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JMLR
2006

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QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines

13 years 7 months ago