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mining frameworks, including metamodeling and active learning, have been proposed in recent years. Active learning, a …. Successful application of active learning requires an effective metric in order to gauge the informativeness of data. Current … portfolio valuation and investigate the impact of prediction bias in both the modeling and sampling stages of active learning …
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Building predictive models for genomic mining requires feature selection, as an essential preliminary step to reduce the large number of variable available. Feature selection is a process to select a subset of features which is the most essential for the intended tasks such as classification,...
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