Abstract. Pattern-based verification trying to abstract away the concrete number of repeated memory structures is one of the approaches that have recently been proposed for verific...
The Natural Language Toolkit is a suite of program modules, data sets and tutorials supporting research and teaching in computational linguistics and natural language processing. ...
We propose a new technique for hardware synthesis from higherorder functional languages with imperative features based on Reynolds's Syntactic Control of Interference. The re...
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
d by recent research in abstract model checking, we present a new approach to inferring dependent types. Unlike many of the existing approaches, our approach does not rely on prog...