Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices

Christopher Tosh
Christopher Tosh

CoRR, 2019.

Cited by: 0|Bibtex|Views88
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

We consider the problem of functional matrix factorization, finding low-dimensional structure in a matrix where every entry is a noisy function evaluated at a set of discrete points. Such problems arise frequently in drug discovery, where biological samples form the rows, candidate drugs form the columns, and entries contain the dose-re...More

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