Parsing Expression Grammar (PEG) is a recognition-based foundation for describing syntax that renewed interest in top-down parsing approaches. Generally, the implementation of PEG...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
We present the rst type reconstruction system which combines the implicit typing of ML with the full power of the explicitly typed second-order polymorphic lambda calculus. The sy...
This paper shows how type effect systems can be combined with model-checking techniques to produce powerful, automatically verifiable program logics for higher-order programs. The ...
This paper presents an approach for substantially reducing the time needed to calculate the shortest paths between all concepts in a wordnet. The algorithm exploits the unique &qu...