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Abstract: Feature weighting is used to alleviate the conditional independence assumption of Naïive Bayes text classifiers and consequently improve their generalization performance. Most traditional ...
Abstract: Within the e-commerce sphere, optimizing the product classification process assumes pivotal importance, owing to its direct influence on operational efficiency and profitability. In this ...
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Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...
Applied to 751 English Premier League matches with proper train/test validation, our Bayesian outcome-specific ensemble framework outperformed naive baselines by 13.6% relative improvement and placed ...
The digital revolution and the resulting datafication of society have changed empirical social science research fundamentally. Enormous amounts of data can now be easily stored, managed and analyzed.
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