Abstract: High-quality predictions of key indicators are essential to maintain stable production in the iron and steel industry. However, most existing prediction methods rely on manually designed ...
This project builds a book recommendation system using Machine Learning to help users find and discover books based on their personal preferences. The application uses real data and applies ...
Abstract: Ordinal regression aims to predict ordered classes. Existing methods mainly focus on label distribution shapes and feature distance relationships, while the directional characteristics in ...
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