Publications

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Journal Article
Van Vaerenbergh, S., J. Vía, and I. Santamaría, "Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm", Journal of Communications, vol. 2, no. 3, pp. 1–8, May, 2007. PDF icon PDF Version (655.52 KB)
Van Vaerenbergh, S., M. Lázaro-Gredilla, and I. Santamaría, "Kernel Recursive Least-Squares Tracker for Time-Varying Regression", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, issue 8, pp. 1313--1326, August, 2012. PDF icon PDF Version (861.59 KB)
Conference Paper
Van Vaerenbergh, S., J. Vía, and I. Santamaría, "A Sliding-Window Kernel RLS Algorithm and its Application to Nonlinear Channel Identification", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, France, May, 2006. PDF icon PDF Version (186.03 KB)
Van Vaerenbergh, S., I. Santamaría, W. Liu, and J. C. Príncipe, "Fixed-Budget Kernel Recursive Least-Squares", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, March, 2010. PDF icon PDF Version (235.93 KB)
Lázaro-Gredilla, M., S. Van Vaerenbergh, and I. Santamaría, "A Bayesian Approach To Tracking With Kernel Recursive Least-Squares", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September, 2011. PDF icon PDF Version (238.14 KB)
Book Chapter
Van Vaerenbergh, S., and I. Santamaría, "Online Regression with Kernels", Regularization, Optimization, Kernels, and Support Vector Machines, no. Machine Learning & Pattern Recognition Series, New York, Chapman and Hall/CRC, pp. 477-501, 2014. PDF icon PDF Version (298.16 KB)

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