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20132021
most citedKernel methods on spike train space for neuroscience: a tutorial

61 citations · 84 across the 8 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

stat.ML2013★ 5 cited

Probabilistic Archetypal Analysis

Sohan Seth, Manuel J. A. Eugster

Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximati…

stat.ML2013

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…

stat.ML2013★ 2 cited

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space

Ritabrata Dutta, Sohan Seth, Samuel Kaski

We address the problem of retrieving relevant experiments given a query experiment, motivated by the public databases of datasets in molecular biology and other experimental scienc…

q-bio.GN2013

Exploration and retrieval of whole-metagenome sequencing samples

Sohan Seth, Niko Välimäki, Samuel Kaski +1

Over the recent years, the field of whole metagenome shotgun sequencing has witnessed significant growth due to the high-throughput sequencing technologies that allow sequencing ge…

q-bio.NC2013★ 61 cited

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…