Harvard Business School

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Insurancenewsnet.com

New Insurance Economics Findings Has Been Reported by Investigators at London School of Economics and Political Science (A Random Forest Based Approach for Predicting Spreads ...

2022 JAN 04 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Investigators discuss new findings in Economics - Insurance Economics. According to news reporting originating ...
CU Boulder News & Events

Long Lead Forecasting of Spring Flows in the Colorado River Using Random Forest

There is an increasing need for skillful streamflow forecasts that extend beyond a 12-month lead time (“year-2 forecasts”), particularly in basins with highly variable interannual streamflow, large ...
EurekAlert!

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...