In Geoscience domain, large amounts of data are accessible, however they vary in formats and are stored at various organizations leading to problems of data discovery, data intero...
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
We present HOMER, an observational-equivalence model checker for the 3rd-order fragment of Idealized Algol (IA) augmented with iteration. It works by first translating terms of the...
This paper develops sound modelling and reasoning methods for imperative programs with pointers: heaps are modelled as mappings from addresses to values, and pointer structures are...