Contraction Principle based Robust Iterative Algorithms for Machine Learning

Abstract

Iterative algorithms are ubiquitous in the field of data mining. Widely known examples of such algorithms are the least mean square algorithm, backpropagation algorithm of neural networks etc. Our contribution in this paper is an improvement upon these iterative algorithms in terms of their respective performance metrics and robustness. This improvement is… (More)

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