Results 21 to 30 of about 4,433,966 (292)
Risks, 2021 In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN) is an emerging approach, and many insurance companies have been using them for pricing.
Shengkun Xie
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Scalable Importance Tempering and Bayesian Variable Selection [PDF]
, 2019 We propose a Monte Carlo algorithm to sample from high dimensional probability distributions that combines Markov chain Monte Carlo and importance sampling.
Roberts, Gareth, Zanella, Giacomo
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Random Forest variable importance with missing data [PDF]
, 2012 Random Forests are commonly applied for data prediction and interpretation. The latter purpose is supported by variable importance measures that rate the relevance of predictors. Yet existing measures can not be computed when data contains missing values.
Hapfelmeier, Alexander +2 more
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Frontiers in Earth Science, 2023 The Yunnan–Tibet traffic corridor runs through the Three Rivers Region, southeastern Tibetan Plateau, which is characterized by high-relief topography and active tectonics, with favourable conditions for landslides.
Sen Wang +9 more
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Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data
European Journal of Remote Sensing, 2017 This paper presents an evaluation on strategies for rubber plantation mapping employing SAR data coupled with Random Forest (RF) and Support Vector Machine (SVM).
Bambang H. Trisasongko
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Danger: High Power! – Exploring the Statistical Properties of a Test for Random Forest Variable Importance [PDF]
, 2008 Random forests have become a widely-used predictive model in many scientific disciplines within the past few years. Additionally, they are increasingly popular for assessing variable importance, e.g., in genetics and bioinformatics.
Strobl, Carolin, Zeileis, Achim
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Important Variables in Granulocyte Chemiluminescence
Experimental Biology and Medicine, 1979 SummaryA CL system consisting of canine granulocytes stimulated with opsonized zymosan was used to examine factors which lead to variability in light production. Variability of CL response was associated with granulocyte aggregation. Granulocyte aggregation was reduced by: (i) reducing centrifu-gation and mixing forces used to prepare cell suspensions,
B R, Andersen, H J, Amirault
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Remote Sensing, 2023 The sustainability of Mediterranean ecosystems, even if previously shaped by fire, is threatened by the diverse changes observed in the wildfire regime, in addition to the threat to human security and infrastructure losses. During the two previous years,
Irene Chrysafis +5 more
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Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics [PDF]
, 2012 The Random Forest (RF) algorithm by Leo Breiman has become a standard data analysis tool in bioinformatics. It has shown excellent performance in settings where the number of variables is much larger than the number of observations, can cope with ...
Boulesteix, Anne-Laure +3 more
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