Comparison of supervised learning statistical methods for classifying commercial beers and identifying patterns
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DOI: 10.1002/cem.3216
Abstract: In this study, 13 properties (alcohol‐, real extract‐, flavonoid‐, anthocyanin, glucose, fructose, maltose, sucrose content, EBC [European Brewery Convention] and L*a*b* color, bitterness) of 21 beers (alcohol‐free pale lagers, alcohol‐free beer‐based mixed drinks, beer‐based mixed… read more here.
Keywords: color; supervised learning; error; error rate ... See more keywords
An empirical comparison of supervised learning algorithms and hybrid WDBN algorithm for MOOC courses
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01190-9
Abstract: In today’s scenario, sentiment classification has been acknowledged as a significant aspect, as it delivers the techniques for automatically analyzing people’s reviews to extract useful information on a product or service. Polarity classification is one… read more here.
Keywords: course; comparison supervised; algorithm; wdbn ... See more keywords
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220263
Abstract: Self-supervised methods gain more and more attention, especially in the medical domain, where the number of labeled data is limited. They provide results on par or superior to their fully supervised competitors, yet the difference… read more here.
Keywords: supervised self; self supervised; self; comparison supervised ... See more keywords