Probabilistic Boolean Tensor Decomposition

Abstract

We present a probabilistic treatment of Boolean tensor decomposition which allows us to approximate data consisting of multi-way binary relationships as products of interpretable low-rank binary factors, following the rules of Boolean algebra.

Publication
In: International Conference on Machine Learning, pp. 4410–4419