Machine Learning Can’t Pick Winning Funds. But It Can Help You Avoid Losers

New research debunks machine learning’s ability to pick winning mutual funds, revealing it mainly helps investors avoid ...

The Most Underutilized, Simple Way To Boost Predictive AI’s Value

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Smarter soils: machine learning reveals lead hotspots beneath our feet

FAYETTEVILLE, GA, UNITED STATES, May 26, 2026 /EINPresswire.com/ -- Lead (Pb) contamination in agricultural soils is an ...
Healio

AI may predict risk for major complications following postmastectomy breast reconstruction

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...
Frontiers

Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation

The genetic architecture of a trait plays a vital role in the predictive ability of genomic models. While classical methods such as genomic best linear unbiased prediction (GBLUP) remain widely used ...
AOL

Influencer installs $3,000 vending machine in home to 'boost productivity'

A Miami-based influencer and Twitch streamer says she dropped $3,000 on a wellness pouch vending machine for her house, and has no regrets about it. Emily Rinaudo, 29, had the Lucy-brand dispenser ...
Scientific Research Publishing

Friedman, J. H. (2001). Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Scientific Research Publishing

Friedman, J.H. (2001) Greedy Function Approximation: A Gradient Boosting Machine. The Annals of Statistics, 29, 1189-1232.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
IEEE

Open-Circuit Fault Diagnosis for Charging Modules Based on Transfer Light Gradient Boosting Machine

Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...