We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
In this paper, we address the problem of power dissipation minimization in combinational circuits implemented using pass transistor logic (PTL). We transform the problem of power ...
Object-oriented programs are notable for making use of both rder abstractions and mutable, aliased state. Either feature alone is challenging for formal verification, and the com...
Neelakantan R. Krishnaswami, Jonathan Aldrich, Lar...
aa We consider the problem of obtaining a minimal logic program strongly equivalent (under the stable models semantics) to a given arbitrary propositional theory. We propose a meth...