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Data Centering in Feature Space (2003)

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by Marina Meila
Citations:7 - 0 self
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BibTeX

@MISC{Meila03datacentering,
    author = {Marina Meila},
    title = {Data Centering in Feature Space},
    year = {2003}
}

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Abstract

This paper presents a family of methods for data translation in feature space, to be used in conjunction with kernel machines. The translations are performed using only kernel evaluations in input space. We use the methods to improve the numerical properties of kernel machines. Experiments with synthetic and real data demonstrate the effectiveness of data centering and highlight other interesting aspects of translation in feature space.

Citations

2038 LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/˜cjlin/libsvm - Chang, Lin
1493 Vapnik V: Support vector networks - Cortes - 1995
775 Nonlinear component analysis as a kernel eigenvalue problem - Schölkopf, Smola, et al. - 1998
382 Estimating the support of a high-dimensional distribution - Scholkopf, Platt, et al. - 2001
281 Convolutional kernels on discrete structures - Haussler - 2007
230 PL: New Support Vector Algorithms - Schölkopf, AJ, et al.
207 Using the nyström method to speed up kernel machines - Williams, Seeger
180 On kernel-target alignment - Cristianini, Shawe-taylor, et al. - 2001
109 Dynamic alignment kernels - Watkins - 1999
46 Dynamically adapting kernels in support vector machines - Cristianini, Campbell, et al. - 1999
18 Statistical Learning and Kernel Methods - Schölkopf, Guyon, et al. - 2003
15 On the concentration of spectral properties - Shawe-Taylor, Cristianini, et al. - 2002
5 Improving Support Vector Machines by Modifying Kernel Functions. Neural Networks - Amari, Wu - 1999
4 Andre Elisseeff, and Jaz Kandola. On kernel target alignment - Cristianini, Shawe-Taylor - 2002
4 Machine Learning Repository. ftp://ftp.ics.uci.edu/pub/machine-learningdatabases - Irvine
3 Nello Cristianini, and Jaz Kandola. On the concentration of spectral properties - Shawe-Taylor - 2002
2 Support vector and kernel machines. Tutorial at ICML - Cristianini - 2001
1 Penalty gap anova kernels. personal communication - Watkins - 2002
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