Performance analysis for L_2 kernel classification
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[1] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[2] H. Kile,et al. Bandwidth Selection in Kernel Density Estimation , 2010 .
[3] M. Wand,et al. On nonparametric discrimination using density differences , 1988 .
[4] Deniz Erdoğmuş,et al. Towards a unification of information theoretic learning and kernel methods , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..
[5] Florentina Bunea,et al. Sparse Density Estimation with l1 Penalties , 2007, COLT.
[6] Alexander J. Smola,et al. Learning with kernels , 1998 .
[7] Stephen E. Fienberg,et al. Testing Statistical Hypotheses , 2005 .
[8] A. Tsybakov,et al. Linear and convex aggregation of density estimators , 2006, math/0605292.
[9] T. Wagner,et al. Asymptotically optimal discriminant functions for pattern classification , 1969, IEEE Trans. Inf. Theory.
[10] David W. Scott,et al. Parametric Statistical Modeling by Minimum Integrated Square Error , 2001, Technometrics.
[11] Chao He,et al. Probability Density Estimation from Optimally Condensed Data Samples , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Luc Devroye,et al. Combinatorial methods in density estimation , 2001, Springer series in statistics.
[13] JooSeuk Kim,et al. Kernel Classification via Integrated Squared Error , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[14] Matthew P. Wand,et al. Kernel Smoothing , 1995 .
[15] Helge J. Ritter,et al. Discriminative Densities from Maximum Contrast Estimation , 2002, NIPS.
[16] Charles C. Taylor,et al. Kernel density classification and boosting: an L2 analysis , 2005, Stat. Comput..