Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

We refer to this linear central tendency warped bias as the “systematic bias of machine learning regression”. In this paper, we first demonstrate that this systematic prediction bias persists across ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

K-nearest neighbors (KNN) regression is a highly accurate supervised machine learning technique that makes no assumptions about the data distribution. In terms of response prediction, it is more ...