The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
In many applications of temporal reasoning we are in terested in reasoning incrementally In particular, given a CSP of temporal constrains and a new constraint, we want to maint...
The paper analyzes a diagrammatic reasoning problem that consists in finding a graphical layout which simultaneously satisfies a set of constraints expressed in a formal language a...
Abstract. The stochastic satisfiability modulo theories (SSMT) problem is a generalization of the SMT problem on existential and randomized (aka. stochastic) quantification over di...
Abstract. Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different ...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...