Design and comparative study of online kernel methods identification of nonlinear system in RKHS space
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[1] Vladimir Vovk,et al. Leading strategies in competitive on-line prediction , 2006, Theor. Comput. Sci..
[2] Roman Rosipal,et al. Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space , 2002, J. Mach. Learn. Res..
[3] Alexander J. Smola,et al. Learning with kernels , 1998 .
[4] Hassani Messaoud,et al. Online identification of nonlinear system using reduced kernel principal component analysis , 2010, Neural Computing and Applications.
[5] Manfred K. Warmuth,et al. Online kernel PCA with entropic matrix updates , 2007, ICML '07.
[6] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[7] S. V. N. Vishwanathan,et al. Fast Iterative Kernel Principal Component Analysis , 2007, J. Mach. Learn. Res..
[8] Vladimir Vovk,et al. On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces , 2005, TAMC.
[9] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[10] Nathalie Villa-Vialaneix,et al. Identification of non linear multivariable processes modelled on reproducing Kernel Hilbert space: Application to Tennessee process , 2009, ICONS.
[11] Ignacio Santamaría,et al. Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm , 2007, J. Commun..
[12] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[13] Paul Honeine,et al. Online Prediction of Time Series Data With Kernels , 2009, IEEE Transactions on Signal Processing.
[14] Wenjian Wang,et al. Online prediction model based on support vector machine , 2008, Neurocomputing.
[15] Michael I. Jordan,et al. Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces , 2004, J. Mach. Learn. Res..
[16] Shie Mannor,et al. The kernel recursive least-squares algorithm , 2004, IEEE Transactions on Signal Processing.
[17] Nello Cristianini,et al. The Application of Support Vector Machines to Medical decision Support: A Case Study , 1999 .
[18] S. V. Dudul,et al. Induction machine fault detection using support vector machine based classifier , 2009 .
[19] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[20] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[21] Ming-Hsuan Yang,et al. Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[22] Johan A. K. Suykens,et al. Efficiently updating and tracking the dominant kernel principal components , 2007, Neural Networks.
[23] H. Messaoud,et al. Online prediction model based on Reduced Kernel Principal Component Analysis , 2009, 2009 3rd International Conference on Signals, Circuits and Systems (SCS).
[24] Nello Cristianini,et al. An introduction to Support Vector Machines , 2000 .
[25] Tat-Jun Chin,et al. Incremental kernel SVD for face recognition with image sets , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).