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As Least Mean Square is a very popular choice to be used in combination with neural networks topologies, what would be the most common machine learning algorithms (and easily) to combine with Kernel Least Mean Square?

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  • $\begingroup$ is this helpful? $\endgroup$ – Nikos M. Jul 8 at 18:24
  • $\begingroup$ Thank you. My understanding is that we have LMS - an adaptive filter whose idea is found in ML algorithms, like neural networks. We have ML algorithms (like SVM, PCA) capable of working with kernel functions. And LMS is another example of algorithm capable of operating with kernels, but it does not involve to be combined with a specific ML algorithm. $\endgroup$ – Brezeanu Bianca Jul 10 at 16:09
  • $\begingroup$ Well options are open! For example, backpropagation the main algorithm of Neural Networks training is an adaptation of LMS algorithm. $\endgroup$ – Nikos M. Jul 10 at 16:27
  • $\begingroup$ Thank you, again. But something it's still unclear. Do we can say that there are ML algorithms inspired by KLMS (and what would be these, if yes) in the same way neural network's backpropagation is inspired by LMS ? $\endgroup$ – Brezeanu Bianca Jul 12 at 16:21

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