98 citations · 224 across the 9 of their papers we have counts for
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Bayesian Extensions of Kernel Least Mean Squares
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
The kernel least mean squares (KLMS) algorithm is a computationally efficient nonlinear adaptive filtering method that "kernelizes" the celebrated (linear) least mean squares algor…
Kernel methods on spike train space for neuroscience: a tutorial
Il Memming Park, Sohan Seth, Antonio R. C. Paiva +2
Over the last decade several positive definite kernels have been proposed to treat spike trains as objects in Hilbert space. However, for the most part, such attempts still remain…
Bayesian Entropy Estimation for Countable Discrete Distributions
Evan Archer, Il Memming Park, Jonathan Pillow
We consider the problem of estimating Shannon's entropy from discrete data, in cases where the number of possible symbols is unknown or even countably infinite. The Pitman-Yor…