Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

Hands-on Machine Learning with R provides a practical and applied approach to learning
and develo** intuition into today's most popular machine learning methods. This book …

Today's digital health revolution aims to improve the efficiency of healthcare delivery and
make care more personalized and timely. Sources of data for digital health tools include …

The origins of religion and of complex societies represent evolutionary puzzles,,,,,,–. The
'moralizing gods' hypothesis offers a solution to both puzzles by proposing that belief in …

Matrices of (approximate) low rank are pervasive in data science, appearing in movie
preferences, text documents, survey data, medical records, and genomics. While there is a …

Implicit deep learning prediction rules generalize the recursive rules of feedforward neural
networks. Such rules are based on the solution of a fixed-point equation involving a single …

Neural net compression can be achieved by approximating each layer's weight matrix by a
low-rank matrix. The real difficulty in doing this is not in training the resulting neural net …

Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …

Nonnegative matrix factorization (NMF) has become a widely used tool for the analysis of
high-dimensional data as it automatically extracts sparse and meaningful features from a set …