Current research in natural language processing is characterized by the development of theories of grammar which strongly depend on the lexicon to drive parsing systems (e.g. Lexi...
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Abstract. Explanation and argumentation are fundamental to reasoning. They are therefore of some importance to artificial intelligence. Discourse-based reasoning (DBR) is a knowled...
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
To prepare for future peta- or exa-scale computing, it is important to gain a good understanding on what impacts a hierarchical storage system would have on the performance of data...
Weikuan Yu, Sarp Oral, Shane Canon, Jeffrey S. Vet...