Abstract: This paper treats the application of Boolean matrix theory to problems in sequential circuit theory and threshold logics. First, the solution to the Boolean matrix equation is reviewed. This ...

In a note by Baker [1], a method is given for getting the limiting connectivity matrix, B, of a matrix whose entries are Boolean 0's and 1's. Harary [2] suggests determining An-1 since An-1 = An = ··· ...

Thank you for visiting the GitHub repository of the SWI-Prolog system $BMLP_{active}$, which actively selects data to learn gene function annotations from genome ...

This repository provides a Python library that implements the Elastic Boolean Matrix Factorization (Elbmf) algorithm using PyTorch. It provides an efficient methods for factorizing binary matrices ...

Boolean matrix factorization (BMF) is a combinatorial problem arising from a wide range of applications including recommendation system, collaborative filtering, and dimensionality reduction.

One of the tasks of data science is the decomposition of large matrices in order to understand their structures. A special case of this is when we decompose relations, i.e., logical matrices. In this ...

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...