Fifty years of classification and regression trees
WY Loh - International Statistical Review, 2014 - Wiley Online Library
Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …
techniques have added capabilities that far surpass those of the early methods. Modern …
[HTML][HTML] Online prediction of network-level public transport demand based on principle component analysis
Online demand prediction plays an important role in transport network services from
operations, controls to management, and information provision. However, the online …
operations, controls to management, and information provision. However, the online …
Random forests as a tool for ecohydrological distribution modelling
An important issue in ecohydrological research is distribution modelling, aiming at the
prediction of species or vegetation type occurrence on the basis of empirical relations with …
prediction of species or vegetation type occurrence on the basis of empirical relations with …
Mixed-effects random forest for clustered data
This paper presents an extension of the random forest (RF) method to the case of clustered
data. The proposed 'mixed-effects random forest'(MERF) is implemented using a standard …
data. The proposed 'mixed-effects random forest'(MERF) is implemented using a standard …
Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines
TM Carvajal, KM Viacrusis, LFT Hernandez… - BMC infectious …, 2018 - Springer
Background Several studies have applied ecological factors such as meteorological
variables to develop models and accurately predict the temporal pattern of dengue …
variables to develop models and accurately predict the temporal pattern of dengue …
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
J Burez, D Van den Poel - Expert Systems with Applications, 2007 - Elsevier
The early detection of potential churners enables companies to target these customers using
specific retention actions, and subsequently increase profits. This analytical CRM (Customer …
specific retention actions, and subsequently increase profits. This analytical CRM (Customer …
Evaluation of patient safety culture using a random forest algorithm
Safety culture is a multidimensional concept that may be associated with medical errors and
patient safety events in healthcare delivery systems. However, limited evidence is available …
patient safety events in healthcare delivery systems. However, limited evidence is available …
A fuzzy random forest
When individual classifiers are combined appropriately, a statistically significant increase in
classification accuracy is usually obtained. Multiple classifier systems are the result of …
classification accuracy is usually obtained. Multiple classifier systems are the result of …
Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
Techniques for discriminating swamp wetland species are critical for the rapid assessment
and proactive management of wetlands. In this study, we tested whether the random forest …
and proactive management of wetlands. In this study, we tested whether the random forest …
Short-term prediction of groundwater level using improved random forest regression with a combination of random features
To solve the problem where by the available on-site input data are too scarce to predict the
level of groundwater, this paper proposes an algorithm to make this prediction called the …
level of groundwater, this paper proposes an algorithm to make this prediction called the …