A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling Article

Pham, Binh T, Prakash, Indra, Khosravi, Khabat et al. (2019). A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling . GEOCARTO INTERNATIONAL, 34(13), 1385-1407. 10.1080/10106049.2018.1489422

International Collaboration

cited authors

  • Pham, Binh T; Prakash, Indra; Khosravi, Khabat; Chapi, Kamran; Trinh, Phan T; Ngo, Trinh Q; Hosseini, Seyed V; Bui, Dieu T

sustainable development goals

authors

publication date

  • November 10, 2019

published in

keywords

  • Bayes network
  • CLASSIFICATION
  • DECISION TREE
  • Decision Table Na?ve Bayes
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FREQUENCY RATIO
  • FUZZY
  • Geology
  • Geosciences, Multidisciplinary
  • HIMALAYAN AREA
  • HYBRID INTEGRATION
  • Imaging Science & Photographic Technology
  • LOGISTIC-REGRESSION
  • Life Sciences & Biomedicine
  • NEURAL-NETWORKS
  • Na?ve Bayes
  • Na?ve Bayes Trees
  • PREDICTION
  • Physical Sciences
  • ROTATION FOREST
  • Remote Sensing
  • Science & Technology
  • Support Vector Machines
  • Technology

Digital Object Identifier (DOI)

publisher

  • TAYLOR & FRANCIS LTD

start page

  • 1385

end page

  • 1407

volume

  • 34

issue

  • 13