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The p-norm generalization of the LMS algorithm for adaptive filtering.

, , and . IEEE Trans. Signal Process., 54 (5): 1782-1793 (2006)

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Learning Reliably and with One-Sided Error.. Math. Syst. Theory, 28 (2): 141-172 (1995)Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle., , and . Discovery Science, volume 6332 of Lecture Notes in Computer Science, page 251-265. Springer, (2010)The Power of Sampling in Knowledge Discovery., and . PODS, page 77-85. ACM Press, (1994)Learning Hierarchical Rule Sets., , and . COLT, page 37-44. ACM, (1992)The p-norm generalization of the LMS algorithm for adaptive filtering., , and . IEEE Trans. Signal Process., 54 (5): 1782-1793 (2006)Online Learning of Linear Classifiers.. Machine Learning Summer School, volume 2600 of Lecture Notes in Computer Science, page 235-258. Springer, (2002)Attribute-Efficient Learning.. Encyclopedia of Algorithms, Springer, (2008)Worst-case Loss Bounds for Single Neurons., , and . NIPS, page 309-315. MIT Press, (1995)Averaging Expert Predictions, and . EuroCOLT, volume 1572 of Lecture Notes in Computer Science, page 153-167. Springer, (1999)Using experts for predicting continuous outcomes., and . EuroCOLT, page 109-120. Oxford University Press, (1993)