Associative Language Descriptions are a recent grammar model, theoretically less powerful than Context Free grammars, but adequate for describing the syntax of programming languag...
stract entity pointing forward, but by a "web" allowing for different strands to go their own way while weaved together to create a coherent pattern, and this is how the ...
Abstract--We propose a new Consistent Weighted Sampling method, where the probability of drawing identical samples for a pair of inputs is equal to their Jaccard similarity. Our me...
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that the restricted isometry property (RIP) can be used f...