Topological regularization with information filtering networks
This paper introduces a novel methodology to perform topological regularization in multivariate probabilistic modeling by using sparse, complex, networks which represent the system's dependency structure and are called information filtering networks (IFN). This methodology can be directly appli...
Main Author: | Aste, T. (Author) |
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Format: | Article |
Language: | English |
Published: |
Elsevier Inc.
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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