Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Tech Xplore on MSN
New method improves the reliability of statistical estimations
MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data. Instead, a new study suggests, it might come down ...
By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...
This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback