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RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data.
Thibaud Godon
Pier-Luc Plante
Baptiste Bauvin
Elina Francovic-Fontaine
Alexandre Drouin
Jacques Corbeil
Published in:
CoRR (2022)
Keyphrases
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training data
data sets
original data
database
data collection
image data
sparse data
high dimensional data
raw data
decision trees
small number
spatial data
classification decisions
ensemble learning
data processing
input data
data sources