Embedding with a Lipschitz function
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[1] N. Tomczak-Jaegermann. Banach-Mazur distances and finite-dimensional operator ideals , 1989 .
[2] V. Milman,et al. Asymptotic Theory Of Finite Dimensional Normed Spaces , 1986 .
[3] A. Giannopoulos. A NOTE ON THE BANACH-MAZUR DISTANCE TO THE CUBE , 1995 .
[4] Shai Ben-David,et al. Limitations of Learning Via Embeddings in Euclidean Half Spaces , 2003, J. Mach. Learn. Res..
[5] S. Mendelson,et al. Entropy and the combinatorial dimension , 2002, math/0203275.
[6] A. Pajor,et al. Sections of the unit ball of Ipn , 1988 .
[7] V. Koltchinskii,et al. Empirical margin distributions and bounding the generalization error of combined classifiers , 2002, math/0405343.
[8] G. Pisier. The volume of convex bodies and Banach space geometry , 1989 .
[9] Ralf Herbrich,et al. Learning Kernel Classifiers , 2001 .
[10] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT.
[11] Peter L. Bartlett,et al. Improved Generalization Through Explicit Optimization of Margins , 2000, Machine Learning.
[12] Gideon Schechtman,et al. The shattering dimension of sets of linear functionals , 2004 .
[13] Alexander J. Smola,et al. Learning with kernels , 1998 .
[14] B. Bollobás,et al. Extremal Graph Theory , 2013 .
[15] Vladimir Vapnik,et al. Statistical learning theory , 1998 .