Browsing by Subject "text classification"
Now showing items 1-2 of 2
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Bayesian estimate of mean proper scores for diversity-enhanced active learning
(2023-12-15)The effectiveness of active learning largely depends on the sampling efficiency of the acquisition function. Expected Loss Reduction (ELR) focuses on a Bayesian estimate of the reduction in classification error, and more ... -
Improving multi-label text classification using weighted information gain and co-trained multinomial naïve bayes classifier
(2022)Over recent years, the emergence of electronic text processing systems has generated a vast amount of structured and unstructured data, thus creating a challenging situation for users to rummage through irrelevant information. ...