Abstract: A seminal work of [Ahn-Guha-McGregor, PODS’12] showed that one can compute a cut sparsifier of an unweighted undirected graph by taking a near-linear number of linear measurements on the ...

Second, we also extend the mortality rate to include negative value, thus allowing the logistic model to describe both exponential growth and S shape growth scenarios, and provide criteria for ...

A single .pdf report explaining your codes with results, relevant graphs, visualization and solution to theory ... The parameters to be estimated in the simple linear regression model Y = α+βx+ϵ ϵ N(0 ...

This project implements a machine learning model to detect fake news articles. It uses text preprocessing techniques and a Logistic Regression model to classify news articles as real or fake. 2.Run ...

Most cases include plots of the attractor and calculations of the spectra of Lyapunov exponents. Some important cases include graphs showing the route to chaos. The book includes many cases not ...

World Population Prospects 2022 is the twenty-seventh edition of the official United Nations population estimates and projections.It presents population estimates from 1950 to the present for 237 ...

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...