A distributed feature selection scheme with partial information sharing

DOI10.1007/s10994-019-05809-yzbMath1442.68192OpenAlexW2945809082WikidataQ127852390 ScholiaQ127852390MaRDI QIDQ2331680

Luigi Piroddi, Aida Brankovic

Publication date: 30 October 2019

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-019-05809-y

zbMATH Keywords

classificationmodel selectionparallel processingfeature selectiondistributed optimization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Distributed algorithms (68W15)

Related Items (1)

An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development

Uses Software

• DistAl
• UCI-ml

Cites Work

• Unnamed Item
• Massively parallel feature selection: an approach based on variance preservation
• Feature Subset Selection by Bayesian network-based optimization
• Parallelizing feature selection
• Solving feature subset selection problem by a parallel scatter search
• An identification algorithm for polynomial NARX models based on simulation error minimization
• 10.1162/153244303322753616

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