Graph-Based Semi-Supervised Learning

DOI10.2200/S00590ED1V01Y201408AIM029zbMath1296.68002OpenAlexW2076280956MaRDI QIDQ3189479

Amarnag Subramanya, Partha Pratim Talukdar

Publication date: 11 September 2014

Published in: Synthesis Lectures on Artificial Intelligence and Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2200/s00590ed1v01y201408aim029

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Research exposition (monographs, survey articles) pertaining to computer science (68-02)

Related Items (6)

A bag-of-paths framework for network data analysis ⋮ On tuning a mean-field model for semi-supervised classification ⋮ Fast unsupervised embedding learning with anchor-based graph ⋮ Laplacian-based semi-supervised learning in multilayer hypergraphs by coordinate descent ⋮ A survey on semi-supervised learning ⋮ Approximation algorithms in combinatorial scientific computing

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