The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
This paper studies the relative proof complexity of variations of a tableau method for Boolean circuit satisfiability checking obtained by restricting the use of the cut rule in s...
The problem of solving boolean combinations of difference constraints is at the core of many important techniques such as planning, scheduling, and model-checking of real-time syst...
Abstract. We investigate the combination of propositional SAT checkers with domain-specific theorem provers as a foundation for bounded model checking over infinite domains. Given ...
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...