Self-Organizing Maps

Recently, I discovered this neat little algorithm called “self-organizing maps” that can be used to create a low-dimensional “map” (as in cartography) of high-dimensional data. The algorithm is very simple. Say you have a set of high-dimensional vectors and you want to represent them in an image, such that each vector is associated with a …

Representing concepts efficiently

This week’s post is about “Semantic Folding Theory and its Application in Semantic Fingerprinting” by Webber . The basic ideas were also discussed in this Braininspired podcast, and also presented and recorded at the HVB Forum in Munich. You don’t need any particular prior knowledge to understand this post, but if you are generally interested …