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 …

[HTML][HTML] Online prediction of network-level public transport demand based on principle component analysis

C Zhong, P Wu, Q Zhang, Z Ma - Communications in Transportation …, 2023 - Elsevier
Online demand prediction plays an important role in transport network services from
operations, controls to management, and information provision. However, the online …

Random forests as a tool for ecohydrological distribution modelling

J Peters, B De Baets, NEC Verhoest, R Samson… - ecological …, 2007 - Elsevier
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 …

Mixed-effects random forest for clustered data

A Hajjem, F Bellavance, D Larocque - Journal of Statistical …, 2014 - Taylor & Francis
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 …

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 …

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 …

Evaluation of patient safety culture using a random forest algorithm

MCE Simsekler, A Qazi, MA Alalami, S Ellahham… - Reliability Engineering & …, 2020 - Elsevier
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 …

A fuzzy random forest

P Bonissone, JM Cadenas, MC Garrido… - International Journal of …, 2010 - Elsevier
When individual classifiers are combined appropriately, a statistically significant increase in
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

EM Adam, O Mutanga, D Rugege… - International Journal of …, 2012 - Taylor & Francis
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 …

Short-term prediction of groundwater level using improved random forest regression with a combination of random features

X Wang, T Liu, X Zheng, H Peng, J **n, B Zhang - Applied Water Science, 2018 - Springer
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 …