Predicting the labels of an unknown graph via adaptive exploration

DOI10.1016/j.tcs.2010.12.056zbMath1209.68282OpenAlexW1969892077WikidataQ59538568 ScholiaQ59538568MaRDI QIDQ2431427

Nicolò Cesa-Bianchi, Fabio Vitale, Claudio Gentile

Publication date: 14 April 2011

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2010.12.056

zbMATH Keywords

online learninggraph clusteringgraph prediction

Mathematics Subject Classification ID

Computational learning theory (68Q32) Social networks; opinion dynamics (91D30) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10)

Uses Software

• SGTlight

Cites Work

• A structured family of clustering and tree construction methods
• On an Online Spanning Tree Problem in Randomly Weighted Graphs
• Exploiting Cluster-Structure to Predict the Labeling of a Graph
• Exploring Unknown Environments
• Learning Theory and Kernel Machines
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