3 papers
cs.SC2022
Gluing Neural Networks Symbolically Through Hyperdimensional Computing
Peter Sutor, Dehao Yuan, Douglas Summers-Stay +2
Hyperdimensional Computing affords simple, yet powerful operations to create long Hyperdimensional Vectors (hypervectors) that can efficiently encode information, be used for learn…
cs.AI2018
Representing Sets as Summed Semantic Vectors
Douglas Summers-Stay, Peter Sutor, Dandan Li
Representing meaning in the form of high dimensional vectors is a common and powerful tool in biologically inspired architectures. While the meaning of a set of concepts can be sum…
cs.AI2018
A Computational Theory for Life-Long Learning of Semantics
Peter Sutor, Douglas Summers-Stay, Yiannis Aloimonos
Semantic vectors are learned from data to express semantic relationships between elements of information, for the purpose of solving and informing downstream tasks. Other models ex…