Machine Learning

Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots
Codiscovering graphical …

Context

This paper introduces Computational Hypergraph Discovery (CHD), a novel method for uncovering unknown functional relationships between variables within datasets, and represent them using a hypergraph.

Computational Hypergraph Discovery

Abstract

Most problems within and beyond the scientific domain can be framed into one of …

Connecting the dots: A …

A practical guide to using Computational Hypergraph Discovery (CHD) to uncover functional relationships in data, demonstrated with the Sachs Gene Dataset.

Computational Hypergraph …

Talk on Computational Hypergraph Discovery framework for discovering unknown functional relationships in data