Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets

Autor: Jun Liu, Jiyan Wang, Junnan Xiong, Weiming Cheng, Huaizhang Sun, Zhiwei Yong, Nan Wang

Publikováno v: Remote Sensing, Vol 13, Iss 23, p 4945 (2021)

Flash floods are considered to be one of the most destructive natural hazards, and they are difficult to accurately model and predict. In this study, three hybrid models were proposed, evaluated, and used for flood susceptibility prediction in the Da

Externí odkaz: https://doaj.org/article/f1d607f7a3b9441ca3203a36ab5e1c5b

Journal of Communications Software and Systems

Externí odkaz: https://doaj.org/toc/1846-6079

Exploração de metodos de seleção de variaveis pela tecnica de regressão logistica para analise de dados epidemiologicos

Autor: Silva, Cleide Aparecida Moreira

Publikováno v: Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP

Orientador: Djalma de Carvalho Moreira Filho Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Ciencias Medicas Resumo: Neste trabalho foi discutida a aplicação de dois métodos distintos de seleção de variáveis e modelo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffbcb511ed27a63b41262528be6bd636
https://doi.org/10.47749/t/unicamp.2006.374744

Partition-based Model Representation Learning

Autor: Hsu, Yayun

Modern machine learning consists of both task forces from classical statistics and modern computation. On the one hand, this field becomes rich and quick-growing; on the other hand, different convention from different schools becomes harder and harde

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4634a2c5f0debe64b5fed7d5b8d9074c

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