After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Using machine learning to predict mortality in older patients with cancer: Decision tree and random forest analyses from the ELCAPA and ONCODAGE prospective cohorts. Authors: Etienne Audureau, ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

Machine learning can be leveraged to ensure personalized experiences and product recommendations, but decision and process automation that implements a retailer’s business goals, policies, and ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...