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Neural forecasting: Introduction and literature overview
Neural network based forecasting methods have become ubiquitous in large...
04/21/2020 ∙ by Konstantinos Benidis, et al. ∙
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Constrained 1-Spectral Clustering
An important form of prior information in clustering comes in form of ca...
05/24/2015 ∙ by Syama Sundar Rangapuram, et al. ∙
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Tight Continuous Relaxation of the Balanced k-Cut Problem
Spectral Clustering as a relaxation of the normalized/ratio cut has beco...
05/24/2015 ∙ by Syama Sundar Rangapuram, et al. ∙
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The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Hypergraphs allow one to encode higher-order relationships in data and a...
12/18/2013 ∙ by Matthias Hein, et al. ∙
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Constrained fractional set programs and their application in local clustering and community detection
The (constrained) minimization of a ratio of set functions is a problem ...
06/14/2013 ∙ by Thomas Bühler, et al. ∙
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