Built on some of Clayton Christensen’s work at Harvard, this algorithm focuses on externalities–market, customers, and competitors–to predict how new companies will fare. Where the ancients ...

That way, the algorithm can differentiate between Black patients and White patients, for example, and giving them each a better prediction. The hardware problem involving pulse oximetry obviously ...

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...

As you read these words, there are likely dozens of algorithms making predictions about you. It was probably an algorithm that determined that you would be exposed to this article because it ...

Racial bias found in widely used health care prediction algorithm. October 30, 2019 Kara Manke, UC Berkeley. The new study found that a type of software program that determines who gets access to high ...

The Department of Supply Chain and Business Technology Management is proud to host Dr. Warut Khern-am-nuai, an associate professor in Information Systems at Desautels Faculty of Management, McGill ...

For example, the integration of ... "Overdose Risk Prediction Algorithms: The Need For A Comprehensive Legal Framework", Health Affairs Forefront, November 22, 2022 . DOI: 10.1377/forefront ...

The novel algorithm was presented in the study “ Machine learning for monitoring and classification in inverters from solar photovoltaic energy plants,” published in Compass in Solar.