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Using feature importance metrics to detect events of interest in scientific computing applications.
Julia Ling
W. Philip Kegelmeyer
Aditya Konduri
Hemanth Kolla
Kevin A. Reed
Timothy M. Shead
Warren L. Davis IV
Published in:
LDAV (2017)
Keyphrases
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scientific computing
feature importance
high performance computing
random forest
file system
feature selection
workflow management
computer systems
distributed memory
image segmentation
active learning
semi supervised
relevance feedback