ABSTRACT: Graph burning is a model to describe the spread of social influence. In 2023, Song et al. proposed the Independent Cascade Graph Burning model, where a vertex v can be burned by its burning ...

Abstract: Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that ...

Abstract: Graph-based multi-view clustering has attracted remarkable attention due to its impressive performance. However, the typical framework consisting of graph learning and indicator generation ...

America is already and has always been great. There are jobs and opportunities now thanks to the current administration, which is why Vice President Kamala Harris and Tim Walz deserve election. We ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Is your feature request related to a problem? Please describe. I’m working on fitting some data to the non-central chi-square distribution with zero degrees of freedom. This is almost a continuous ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Cumulative Distribution Function, or CDF, is a useful statistical tool that helps to understand the probability distribution of a random variable. It is particularly helpful in analyzing the ...