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A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Gualberto Asencio-Cortés
Francisco Martínez-Álvarez
A. Morales-Esteban
Jorge Reyes
Published in:
Knowl. Based Syst. (2016)
Keyphrases
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supervised learning
data sets
reinforcement learning
prediction accuracy
experimental study
training data
search engine
knowledge base
active learning
multi class
unsupervised learning
statistical analysis
theoretical framework
multiple instance learning
high sensitivity
improve the prediction accuracy