Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
暂无分享,去创建一个
[1] Javad Mohammadpour,et al. Efficient modeling and control of large-scale systems , 2010 .
[2] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[3] Alessandro Chiuso,et al. Prediction error identification of linear systems: A nonparametric Gaussian regression approach , 2011, Autom..
[4] Grace Wahba,et al. Spline Models for Observational Data , 1990 .
[5] R. Tibshirani,et al. Generalized Additive Models , 1991 .
[6] Giuseppe De Nicolao,et al. A new kernel-based approach for linear system identification , 2010, Autom..
[7] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[8] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[9] Francis R. Bach,et al. Consistency of the group Lasso and multiple kernel learning , 2007, J. Mach. Learn. Res..
[10] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[11] H. Akaike. A new look at the statistical model identification , 1974 .
[12] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[13] G. Wahba. Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV , 1999 .
[14] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[15] Bernhard Schölkopf,et al. Bayesian Kernel Methods , 2002, Machine Learning Summer School.
[16] Graham C. Goodwin,et al. Estimated Transfer Functions with Application to Model Order Selection , 1992 .
[17] N. Aronszajn. Theory of Reproducing Kernels. , 1950 .
[18] G. Wahba,et al. Some results on Tchebycheffian spline functions , 1971 .
[19] Chih-Ling Tsai,et al. Regression coefficient and autoregressive order shrinkage and selection via the lasso , 2007 .
[20] Marti A. Hearst. Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..
[21] Nan-Jung Hsu,et al. Subset selection for vector autoregressive processes using Lasso , 2008, Comput. Stat. Data Anal..
[22] Charles A. Micchelli,et al. Learning the Kernel Function via Regularization , 2005, J. Mach. Learn. Res..
[23] Peng Zhao,et al. On Model Selection Consistency of Lasso , 2006, J. Mach. Learn. Res..
[24] Francesco Dinuzzo,et al. Kernel machines with two layers and multiple kernel learning , 2010, ArXiv.
[25] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[26] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[27] G. Wahba. Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV 1 , 1998 .