UNDERSTANDING RESEARCH METHODS

Empirical comparisons for several representative linear regression problems indicate that the proposed loss function yields more robust performance and improved prediction accuracy, in comparison with commonly used squared loss and least-modulus loss, especially for noisy high-dimensional data sets. ... sparse vs. non-sparse settings (where ... ................
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