A Study on the Calibrated Confidence of Text Classification Using a Variational Bayes
A Study on the Calibrated Confidence of Text Classification Using a Variational Bayes
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Recently, predictions based on big data have become more successful. In fact, research using images or text can make a long-imagined future come true. However, the data often contain a lot of noise, or the model does not account for the data, which increases uncertainty. Moreover, the gap between accuracy and likelihood is widening in modern predic...
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A Study on the Calibrated Confidence of Text Classification Using a Variational Bayes
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TN_cdi_doaj_primary_oai_doaj_org_article_a7869c1781b14b37b9a1df4689b6a646
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7869c1781b14b37b9a1df4689b6a646
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12189007
