Abstract: Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic applications, ...

Abstract: Methods based on variational bayes theorytare widely used to detect community structures in networks. In recent years, many related methods have emerged that provide valuable insights into ...

More than 100 years ago Hungarian-born mathematician George Pólya found himself trapped in a loop of social awkwardness. A professor at the Swiss Federal Institute of Technology Zurich, he enjoyed ...

The ongoing massive investments in artificial intelligence (AI) aim to satisfy a huge increase in anticipated demand, which in turn has led some firms to offer rosy growth forecasts. To assess these ...

Get a simple explanation of Bayes’ Theorem that anyone can understand, even with no advanced math background. This video breaks the idea down using clear examples and intuitive reasoning to show how ...

Understand Thevenin’s Theorem the easy way with a clear, step-by-step circuit example. Learn how to simplify complex electrical networks into an equivalent circuit, making analysis faster and ...

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...

Researchers at the University of Maine are theorizing that human beings may be in the midst of a major evolutionary shift—driven not by genes, but by culture. "Human evolution seems to be changing ...

Rare genetic traits are features that are uncommon within the general population. They can lead to different observable features or to rare physical abilities. Rare genetic traits are typically ...

In 1994, an earthquake of a proof shook up the mathematical world. The mathematician Andrew Wiles had finally settled Fermat’s Last Theorem, a central problem in number theory that had remained open ...