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Tree-Weighting for Multi-Study Ensemble Learners

Multi-study learning uses multiple training studies, separately trains classifiers on each, and forms an ensemble with weights rewarding members with better cross-study prediction ability. This article considers novel weighting approaches for constructing tree-based ensemble learners in this setting...

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Bibliografske podrobnosti
izdano v:Pac Symp Biocomput
Main Authors: Ramchandran, Maya, Patil, Prasad, Parmigiani, Giovanni
Format: Artigo
Jezik:Inglês
Izdano: 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6980320/
https://ncbi.nlm.nih.gov/pubmed/31797618
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