Nonlinear methodologies for identifying seismic event and nuclear explosion using random forest, support vector machine, and naive Bayes classification

DOI10.1155/2014/459137zbMath1469.86009OpenAlexW2119835096WikidataQ59038400 ScholiaQ59038400MaRDI QIDQ1724162

Longjun Dong, Xibing Li, Gong-Nan Xie

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/459137

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Seismology (including tsunami modeling), earthquakes (86A15) Geostatistics (86A32)

Cites Work

• On the optimality of the simple Bayesian classifier under zero-one loss
• Support-vector networks
• Automatic Indexing: An Experimental Inquiry
• Random forests

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