Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Security of civil aviation has become a major concern in recent years, leading to a variety of protective measures related to airport and aircraft security to be established by re...
The study of sign languages attempts to create a coherent model that binds the expressive nature of signs conveyed in gestures to a linguistic framework. Gesture modelling offers a...