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agrégation d'amorce

bootstrap aggregation

informatique et traitement des données - acta.es

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Mean square error (mse) decrease in accuracy for each feature removal.Random forest feature selection rely on bootstrap aggregation (bagging), and therefore does not have training set, validation set, and test set [69]....

général - core.ac.uk - PDF: www.plosone.org

Bagged gene shaving for the robust clustering of high-throughput data... This paper describes a clustering method based on the bootstrap aggregation (bagging) of gene shaving clusters, which overcomes this and other problems....

PDF: www.biotconf.org

Improving network inference algorithms using resampling methods... bootstrap aggregation, random subspace method) are hypothesized to alleviate variability in network inference methods by minimizing outlier effects and distilling persistent associations...

PDF: doaj.org

An ensemble approach to classifier construction based on bootstrap aggregationIn this paper, we introduce a new approach to the classification of streaming data based on bootstrap aggregation (bagging)....

PDF: citeseerx.ist.psu.edu

Quantum bootstrap aggregationWe set out a strategy for quantizing attribute bootstrap aggregation to enable variance-resilient quantum machine learning....

PDF: core.ac.uk