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Interpretable Graph-Based Semi-Supervised Learning via Flows
Author(s) -
Raif M. Rustamov,
James T. Klosowski
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11647
Subject(s) - interpretability , computer science , graph , theoretical computer science , artificial intelligence , semi supervised learning , machine learning , laplacian matrix , node (physics) , laplace operator , process (computing) , mathematics , mathematical analysis , structural engineering , engineering , operating system

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