Refinable Kernels
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[1] A. Beurling. On two problems concerning linear transformations in hilbert space , 1949 .
[2] N. Aronszajn. Theory of Reproducing Kernels. , 1950 .
[3] R. Duffin,et al. A class of nonharmonic Fourier series , 1952 .
[4] S. Bochner,et al. Lectures on Fourier integrals : with an author's supplement on monotonic functions, Stieltjes integrals, and harmonic analysis , 1959 .
[5] G. Wahba,et al. Some results on Tchebycheffian spline functions , 1971 .
[6] R. Young,et al. An introduction to nonharmonic Fourier series , 1980 .
[7] S. Mallat. Multiresolution approximations and wavelet orthonormal bases of L^2(R) , 1989 .
[8] G. C. Shephard,et al. Tilings and Patterns , 1990 .
[9] C. Micchelli,et al. Stationary Subdivision , 1991 .
[10] Y. Meyer. Wavelets and Operators , 1993 .
[11] C. Micchelli,et al. Functions that preserve families of positive semidefinite matrices , 1995 .
[12] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[13] S. Mallat. A wavelet tour of signal processing , 1998 .
[14] G. Wahba. Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV , 1999 .
[15] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing, 2nd Edition , 1999 .
[16] Tomaso A. Poggio,et al. Regularization Networks and Support Vector Machines , 2000, Adv. Comput. Math..
[17] Junbin Gao,et al. On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces , 2001, Neural Computation.
[18] Bernhard Schölkopf,et al. A Generalized Representer Theorem , 2001, COLT/EuroCOLT.
[19] Felipe Cucker,et al. On the mathematical foundations of learning , 2001 .
[20] André Elisseeff,et al. Stability and Generalization , 2002, J. Mach. Learn. Res..
[21] L. Grafakos. Classical and modern Fourier analysis , 2003 .
[22] S. Smale,et al. ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY , 2003 .
[23] Tong Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization , 2003 .
[24] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[25] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[26] Charles A. Micchelli,et al. A Function Representation for Learning in Banach Spaces , 2004, COLT.
[27] S. Smale,et al. Shannon sampling and function reconstruction from point values , 2004 .
[28] Charles A. Micchelli,et al. Learning the Kernel Function via Regularization , 2005, J. Mach. Learn. Res..
[29] Stéphane Canu,et al. Frames, Reproducing Kernels, Regularization and Learning , 2005, J. Mach. Learn. Res..
[30] Charles A. Micchelli,et al. On Learning Vector-Valued Functions , 2005, Neural Computation.
[31] Chen Zhongying. MULTILEVEL AUGMENTATION METHODS FOR SOLVING OPERATOR EQUATIONS , 2005 .
[32] S. Canu,et al. Non‐parametric regression with wavelet kernels , 2005 .
[33] Bernhard Schölkopf,et al. Implicit Surface Modelling with a Globally Regularised Basis of Compact Support , 2006, Comput. Graph. Forum.
[34] Yuesheng Xu,et al. Universal Kernels , 2006, J. Mach. Learn. Res..
[35] R. Opfer. Tight frame expansions of multiscale reproducing kernels in Sobolev spaces , 2006 .
[36] Anestis Antoniadis,et al. Wavelet kernel penalized estimation for non-equispaced design regression , 2006, Stat. Comput..
[37] Yuesheng Xu,et al. A multilevel augmentation method for solving ill-posed operator equations , 2006 .
[38] Roland Opfer,et al. Multiscale kernels , 2006, Adv. Comput. Math..
[39] Yuesheng Xu,et al. Multilevel augmentation methods for differential equations , 2006, Adv. Comput. Math..
[40] Yiming Ying,et al. Learnability of Gaussians with Flexible Variances , 2007, J. Mach. Learn. Res..
[41] Ingo Steinwart,et al. Fast rates for support vector machines using Gaussian kernels , 2007, 0708.1838.
[42] Yuesheng Xu,et al. On the matrix completion problem for multivariate filter bank construction , 2007, Adv. Comput. Math..
[43] S. Smale,et al. Learning Theory Estimates via Integral Operators and Their Approximations , 2007 .
[44] B. Yu,et al. The Bedrosian identity and homogeneous semi-convolution equations , 2008 .
[45] Bernhard Schölkopf,et al. Sparse multiscale gaussian process regression , 2008, ICML '08.
[46] 採編典藏組. Society for Industrial and Applied Mathematics(SIAM) , 2008 .