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pro vyhledávání: '"Michael Natole"'
Autor:
Michael Natole, Jr., Yiming Ying, Alexander Buyantuev, Michael Stessin, Victor Buyantuev, Andrei Lapenis
Publikováno v:
Environmental Advances, Vol 4, Iss , Pp 100041- (2021)
Very large fires covering tens to hundreds of hectares, termed mega-fires, have become a prominent feature of fire regime in taiga forests worldwide, and in Siberia in particular. Here, we applied an array of machine learning algorithms and statistic
Externí odkaz:
https://doaj.org/article/c33a494a91904ff39204e40542c00138
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
Area under the ROC curve (AUC) is a standard metric that is used to measure classification performance for imbalanced class data. Developing stochastic learning algorithms that maximize AUC over accuracy is of practical interest. However, AUC maximiz
Externí odkaz:
https://doaj.org/article/bb3bedd2aade4678b9e58c7e00508360
Autor:
Andrei G. Lapenis, Michael Stessin, Victor Buyantuev, Yiming Ying, Michael Natole, Alexander Buyantuev
Publikováno v:
Environmental Advances, Vol 4, Iss, Pp 100041-(2021)
Very large fires covering tens to hundreds of hectares, termed mega-fires, have become a prominent feature of fire regime in taiga forests worldwide, and in Siberia in particular. Here, we applied an array of machine learning algorithms and statistic