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 ...

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 ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

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 ...