Vector valued reproducing kernel Hilbert spaces and universality

This paper is devoted to the study of vector valued reproducing kernel Hilbert spaces. We focus on two aspects: vector valued feature maps and universal kernels. In particular we characterize the structure of translation invariant kernels on abelian groups and we relate it to the universality problem.

[1]  N. Aronszajn Theory of Reproducing Kernels. , 1950 .

[2]  George Pedrick,et al.  Theory of reproducing kernels for Hilbert spaces of vector valued functions , 1957 .

[3]  S. Bochner,et al.  Lectures on Fourier integrals : with an author's supplement on monotonic functions, Stieltjes integrals, and harmonic analysis , 1959 .

[4]  R. V. Churchill,et al.  Lectures on Fourier Integrals , 1959 .

[5]  Laurent Schwartz,et al.  Sous-espaces hilbertiens d’espaces vectoriels topologiques et noyaux associés (Noyaux reproduisants) , 1964 .

[6]  P. Falb On a theorem of Bochner , 1969 .

[7]  Bochner's theorem in infinite dimensions. , 1972 .

[8]  H. Brezis Analyse fonctionnelle : théorie et applications , 1983 .

[9]  S. Lang Real and Functional Analysis , 1983 .

[10]  Saburou Saitoh,et al.  Theory of Reproducing Kernels and Its Applications , 1988 .

[11]  G. Folland A course in abstract harmonic analysis , 1995 .

[12]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[13]  Tomaso A. Poggio,et al.  Regularization Networks and Support Vector Machines , 2000, Adv. Comput. Math..

[14]  Felipe Cucker,et al.  On the mathematical foundations of learning , 2001 .

[15]  Bernhard Schölkopf,et al.  Learning with kernels , 2001 .

[16]  Ingo Steinwart,et al.  On the Influence of the Kernel on the Consistency of Support Vector Machines , 2002, J. Mach. Learn. Res..

[17]  L. Györfi,et al.  A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics) , 2002 .

[18]  M. Sentís Quantum theory of open systems , 2002 .

[19]  Adam Krzyzak,et al.  A Distribution-Free Theory of Nonparametric Regression , 2002, Springer series in statistics.

[20]  G. Wahba,et al.  Multicategory Support Vector Machines , Theory , and Application to the Classification of Microarray Data and Satellite Radiance Data , 2004 .

[21]  Charles A. Micchelli,et al.  Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..

[22]  S. Smale,et al.  Shannon sampling II: Connections to learning theory , 2005 .

[23]  H. Führ Abstract Harmonic Analysis of Continuous Wavelet Transforms , 2005 .

[24]  Charles A. Micchelli,et al.  On Learning Vector-Valued Functions , 2005, Neural Computation.

[25]  Yuesheng Xu,et al.  Universal Kernels , 2006, J. Mach. Learn. Res..

[26]  C. Carmeli,et al.  VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM , 2006 .

[27]  A. Caponnetto,et al.  Optimal Rates for the Regularized Least-Squares Algorithm , 2007, Found. Comput. Math..

[28]  Felipe Cucker,et al.  Learning Theory: An Approximation Theory Viewpoint: Index , 2007 .

[29]  Ding-Xuan Zhou,et al.  Reproducing Kernel Hilbert Spaces Associated with Analytic Translation-Invariant Mercer Kernels , 2008 .

[30]  Charles A. Micchelli,et al.  Universal Multi-Task Kernels , 2008, J. Mach. Learn. Res..