Bootstrapping has a tendency, called semantic drift, to select instances unrelated to the seed instances as the iteration proceeds. We demonstrate the semantic drift of bootstrapp...
Digital evidence is not well perceived by the human senses. Crucial pieces of digital evidence may simply be missed by investigators as the forensic significance of seemingly unim...
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
We consider the global optimization problem for d-variate Lipschitz functions which, in a certain sense, do not increase too slowly in a neighborhood of the global minimizer(s). O...
Information quality assurance despite the existence of uncertainty about sources can be investigated in the context of soft security where an agent maintains trustworthiness evalu...