Tao Shi, Steve Horvath, Unsupervised Learning with Random Forest Predictors, Journal of Computational and Graphical Statistics, Vol. 15, No. 1 (Mar., 2006), pp. 118-138 ...

Random Forest uses machine learning and statistical algorithms to find and analyze private lending investment opportunities, primarily from non-bank, technology-focused, web-based loan originators ...

Iterative random forests to discover predictive and stable high-order interactions. Proceedings of the National Academy of Sciences, 2018; 115 (8): 1943 DOI: 10.1073/pnas.1711236115 ...

In this article we study random forests through their connection with a new framework of adaptive nearest-neighbor methods. We introduce a concept of potential nearest neighbors (k-PNNs) and show that ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...