The authors introduce a new algorithm for determining the minimal anisotropic Gaussian noise required to satisfy mutual ...

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ratio to a safer 4/9 distribution through the timely release of backup ...

MULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

A stochastic gradient descent (SGD)-based latent factor analysis ... efficiency while maintaining competitive accuracy in predicting missing data within an HDI matrix. Moreover, their ensemble further ...

He emerges a more remarkable musician than ever. Like a feather in the wind or the global stock market, all of us are subject to stochastic drift. Originating in advanced statistics, the term ...

This important study shows how the relative importance of inter-species interactions in microbiomes can be inferred from empirical species abundance data. The methods based on statistical physics of ...

In the default model, the graph representing each individual enhancer can be arbitrarily complicated. To show how the ABC Score formula can arise from the default model, we need to impose the further ...

Launched by the Metropolitan Police in 2012, the Gangs Matrix is a database of suspected gang members in London. © Amnesty International Launched by the Metropolitan ...