Phylogenomics reveals angel insects' ancestry, resolving century‑old 'Zoraptera problem'

Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...
IEEE

A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees

Abstract: Classification is essential to the applications in the field of data mining, artificial intelligence, and fault detection. There exists a strong need in developing accurate, suitable, and ...
IEEE

Spectral–Spatial and Cascaded Multilayer Random Forests for Tree Species Classification in Airborne Hyperspectral Images

Abstract: The rapid development of remote sensing sensors has made it possible to collect airborne hyperspectral data with high spectral and spatial resolution. Such data can provide valuable ...
Mongabay

Scientists can’t agree on where the world’s forests are

A global comparison of ten satellite-based forest datasets found striking disagreement about where forests are located, with only about a quarter of mapped forest area recognized by all sources.
InfoWorld

Using AI-powered email classification to accelerate help desk responses

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
Analytics India Magazine

How can times series forecasting be done using random forest?

Random forest is also one of the popularly used machine learning models which have a very good performance in the classification and regression tasks. A random forest regression model can also be used ...
Scientific Research Publishing

Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review ()

1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...
PNAS

Classification and interaction in random forests

Suppose you are a physician with a patient whose complaint could arise from multiple diseases. To attain a specific diagnosis, you might ask yourself a series of yes/no questions depending on observed ...