Robust Matrix Factorization

Matrix Factorization with Noise Mixture Model

Advanced approach that explicitly models noise as a mixture of distributions (e.g., a Gaussian distribution for noise and a wider one for outliers), allowing for finer separation and more stable factorization.

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