Applications

From Geometric Mean to KL Divergence to Noisy Labels

If you have ever participated in a machine learning competition (like those held by Kaggle), you may be familiar with the geometric mean as a simple method that combines the output of multiple models. In this post, I will review the geometric mean and its relation to the KullbackÔÇôLeibler (KL) divergence. Based on this relation, …

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