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Optimization Over Zonotopes and Training Support Vector Machines (2001) [5 citations — 0 self]

by Marshall Bern ,  David Eppstein
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Abstract:

. We make a connection between classical polytopes called

Citations

5044 Statistical Learning Theory – Vapnik - 1998
1240 A tutorial on support vector machines for pattern recognition – Burges - 1998
1091 Support-vector network – Cortes, Vapnik - 1995
986 Theory of Linear and Integer Programming – Schrijver - 1986
602 Algorithms in Combinatorial Geometry – Edelsbrunner - 1987
544 Fast training of support vector machines using sequential minimal optimization. Advances in kernel methods – support vector learning – Platt - 1998
173 New support vector algorithms – Scholkopf, Smola, et al. - 2000
126 A subexponential bound for linear programming – Matousek, Sharir, et al. - 1992
86 Input space vs. feature space in kernel-based methods – Scholkopf, Mika, et al. - 1999
48 A fast iterative nearest point algorithm for support vector machine classifier design – Keerthi, Shevade, et al. - 2000
47 The colored Tverberg’s problem and complexes of injective functions – Živaljević, Vrećica - 1992
33 A subexponential algorithm for abstract optimization problems – Gärtner - 1995
30 Duality and geometry in SVM classifiers – Bennett, Bredensteiner - 2000
30 sets with many k-sets – Point - 2000
20 Polynomial solvability of convex quadratic programming – Kozlov, Tarasov, et al. - 1979
12 The centroid of points with approximate weights – Bern, Eppstein, et al. - 1995
11 A geometric interpretation of ν-SVM classifiers – Crisp, Burges - 2000
5 A geometric interpretation of -SVM classi – Crisp, Burges - 2000
2 Duality, and Geometry in SVM Classi – Bennett - 2000
1 Support Vector Machines. Cambridge U – Cristianini, Shawe-Taylor
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