A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees

DOI10.3233/HIS-2004-11-210zbMath1098.68103MaRDI QIDQ5313391

Adrian Silvescu, Vasant Honavar, Doina Caragea

Publication date: 1 September 2005

Published in: International Journal of Hybrid Intelligent Systems (Search for Journal in Brave)

zbMATH Keywords

distributed learninglearning agents

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

Prototype selection algorithms for distributed learning ⋮ Induction of multiclass multifeature split decision trees from distributed data ⋮ Distributed Decision‐Tree Induction in Peer‐to‐Peer Systems

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