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 ...

Because Python package dependency resolution is NP-complete, any Boolean satisfiability (SAT) or (0/1 linear) integer programming (IP) problem can be encoded as a package dependency resolution problem ...

A subsection of mathematical logic, Boolean logic deals with operations involving the two Boolean values: true and false. Although Boolean logic dates back to the mid-19th century, it became ...

Abstract: We present some Boolean programming (0-1 programming) problems and some truth-teller-liar puzzles (using only 'and' connectives). We translate the puzzles to Boolean programming problems.

A Boolean is a term used in computer science and programming that refers to a data type that can only have one of two values: true or false. In other words, a Boolean is a variable that can only ...

Abstract: In this paper, we analyze the effective implementation of Reinforcement Learning for American Option Pricing. We treat American Option Pricing problems as Optimal Stopping Problems and apply ...