C. Trinder
Journal of Mountain Science · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom C. Trinder trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire (in Optimization & Training)
Papers from C. Trinder's perspective
Ordered by how strongly the researchers C. Trinder trusts endorse each paper. Same corpus, a different order for every researcher.
- The Boosting Approach to Machine Learning An Overview
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
- Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China (Computational Geosciences)
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China. (Science of the Total Environment)
- The Nature of Statistical Learning Theory
- Generalized Linear Models
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic… (Landslides)
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
- Game theory, on-line prediction and boosting
- Bias, Variance , And Arcing Classifiers