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Random forest

Known as: RF (disambiguation), Random forests, Random naive bayes 
Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks, that operate by… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
With the advent of the era of big data, crowdsourcing platform on the Internet has been rapidly developed and popularized. As a… 
2016
2016
The most popular approach for analyzing survival data is the Cox regression model. The Cox model may, however, be misspecified… 
Highly Cited
2008
Highly Cited
2008
Abstract:  The forest shelterbelt (afforestation) project in northern China is the most significant ecosystem project initiated… 
Highly Cited
2004
Highly Cited
2004
The objective of the study was to compare the water relations of two indigenous [Podocarpus falcatus (Thunb.) Endl., Croton… 
Highly Cited
2003
Highly Cited
2003
Forest reality and modelling strategies mathematical approaches and reasoning estimation processes models, validation and… 
Highly Cited
1999
Highly Cited
1999
This paper presents an agent-based model of shifting cultivation that explains patterns of land use and forest structure beyond… 
Highly Cited
1995
Highly Cited
1995
An analytical model, based on unsaturated zone water and solute balances, was developed to describe the uptake of saline…