Tech Xplore on MSN

Researchers reveal bias in a widely used measure of algorithm performance

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
VentureBeat

Improved algorithms may be more important for AI performance than faster hardware

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...
ISA

ISA-TR5.9-2023: Realizing and Achieving Best PID

New ISA technical report distills thousands of pages of PID references for improving process performance. Even though controllers using the proportionalintegral-derivative (PID) algorithm have been ...
FedScoop

GAO encourages agencies to improve forensic algorithm standards in new report

The entrance to the Government Accountability Office building on H Street NW in Washington, D.C. (Joe Warminsky / Scoop News Group) Agencies and Congress should consider improving standards, training ...
csis.org

How Accurate are Facial Recognition Systems – and Why Does It Matter?

Facial recognition has improved dramatically in only a few years. As of April 2020, the best face identification algorithm has an error rate of just 0.08% compared to ...