The goal of the data collection and analyses described in this paper was to investigate the effects of incorrect output from a CAD tool on the reliability of the decisions of its ...
Eugenio Alberdi, Andrey Povyakalo, Lorenzo Strigin...
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Wave-based release policies are prevalent in warehouses with an automated sorter, and take different forms depending on how much waves overlap and whether the sorter is split for...
Though designing a data warehouse requires techniques completely different from those adopted for operational systems, no significant effort has been made so far to develop a comp...
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...