This paper discusses the effect of hubness in zero-shot learning, when ridge regression is used to find a mapping between the example space to the label space. Contrary to the existing approach, which attempts to find a mapping from the example space to the label space, we show that mapping labels into the example space is desirable to suppress the emergence of hubs in the subsequent nearest neighbor search step. Assuming a simple data model, we prove that the proposed approach indeed reduces hubness. This was verified empirically on the tasks of bilingual lexicon extraction and image labeling: hubness was reduced with both of these tasks and the accuracy was improved accordingly.
EUS-FNA for pancreatic solid lesions yielded a high accuracy and low complication rate. Both cytological and cell-block preparations and on-site cytopathological evaluation contributed to improve the accuracy. The diagnostic ability of EUS-FNA was less for smaller lesions, and repeated procedures may be needed if malignancy is suspected.
BACKGROUND & AIMS: We performed a large, multicenter, randomized controlled trial to determine the efficacy and safety of early colonoscopy on outcomes of patients with acute lower gastrointestinal bleeding (ALGIB). METHODS: We performed an open-label study at 15 hospitals in Japan of 170 patients with ALGIB randomly assigned (1:1) to groups that underwent early colonoscopy (within 24 hours of initial visit to the hospital) or elective colonoscopy (24-96 hours after hospital admission). The primary outcome was identification of stigmata of recent hemorrhage (SRH). Secondary outcomes were rebleeding within 30 days, endoscopic treatment success, need for transfusion, length of stay, thrombotic events within 30 days, death within 30 days, and adverse events. RESULTS: SRH were identified in 17 of 79 patients (21.5%) in the early colonoscopy group vs 17 of 80 patients (21.3%) in the elective
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