This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering ...

Researchers in the University of York's Department of Sociology will lead one of the first large-scale, systematic social ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in East Africa, using supervised machine learning (ML) models to identify ...