Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
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 ...
ascopubs.org

Performance assessment of an algorithm-based decision-making platform for patient prioritization during cancer care.

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...
ISA

New ISA5.9 project to focus on controller algorithms and performance

The time-honored proportional, integral, derivative (PID) algorithm is used in a vast majority of applications for basic control and in many for advanced control. However, there appears to be a ...
EurekAlert!

Streaming algorithms for triangle counting: adversarial robustness and the weighted case

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
Searchenginejournal.com

How to Build Your Own Search Ranking Algorithm with Machine Learning

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm. This quote couldn’t apply better to general search ...