BOOTSTRAP VOTING EXPERTS (BVE) is an extension to the VOTING EXPERTS algorithm for unsupervised chunking of sequences. BVE generates a series of segmentations, each of which incorporates knowledge gained from the previous segmentation. We show that this method of bootstrapping improves the performance of VOTING EXPERTS in a variety of unsupervised word segmentation scenarios, and generally impr...

The legal system should rely much more than it now does on statistical evidence. It should be cautious about the judgments of experts, who make predictable cognitive errors. Like everyone else, experts have a tendency to blunder about risk, a point that has been shown to hold for doctors, whose predictions significantly err in the direction of optimism. We present new evidence that individual d...

FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user’s FOAF files with automatically generated user profiles, which are based on a histogram of the user’s interest and which are also semantically enriched using the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about u...

This paper investigates what quality of ground truth might be obtained when crowdsourcing specialist medical imaging ground truth from non-experts. Following basic tuition, 34 volunteer participants independently delineated regions belonging to 7 pathological patterns in 20 scans according to expert-provided pattern labels. Participants’ annotations were compared to a set of reference annotatio...