activity
20112022
most citedGeneralizing Boolean Satisfiability II: Theory

24 citations · 57 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DS2022

Unbalancing Binary Trees

Matthew L. Ginsberg

Assuming Zipf's Law to be accurate, we show that existing techniques for partially optimizing binary trees produce results that are approximately 10% worse than true optimal. We pr…

cs.AI2014

Dr.Fill: Crosswords and an Implemented Solver for Singly Weighted CSPs

Matthew L. Ginsberg

We describe Dr.Fill, a program that solves American-style crossword puzzles. From a technical perspective, Dr.Fill works by converting crosswords to weighted CSPs, and then using a…

cs.AI2013

Implementing Probabilistic Reasoning

Matthew L. Ginsberg

General problems in analyzing information in a probabilistic database are considered. The practical difficulties (and occasional advantages) of storing uncertain data, of using it…

cs.AI2011★ 15 cited

Generalizing Boolean Satisfiability III: Implementation

H. E. Dixon, M. L. Ginsberg, D. Hofer +2

This is the third of three papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of modern hi…

cs.AI2011★ 24 cited

Generalizing Boolean Satisfiability II: Theory

H. E. Dixon, M. L. Ginsberg, E. M. Luks +1

This is the second of three planned papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of…

cs.AI2011★ 18 cited

Generalizing Boolean Satisfiability I: Background and Survey of Existing Work

H. E. Dixon, M. L. Ginsberg, A. J. Parkes

This is the first of three planned papers describing ZAP, a satisfiability engine that substantially generalizes existing tools while retaining the performance characteristics of m…