Graph Based Relational Features for Collective Classification

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PART II, pp. 447-458, 2015.

Cited by: 2|Bibtex|Views88|DOI:https://doi.org/10.1007/978-3-319-18032-8_35
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Statistical Relational Learning (SRL) methods have shown that classification accuracy can be improved by integrating relations between samples. Techniques such as iterative classification or relaxation labeling achieve this by propagating information between related samples during the inference process. When only a few samples are labeled...More

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