Daily returns for 50 US stocks across Tech, Finance, Healthcare, Energy, and Consumer sectors. Returns generated via factor model with realistic loadings. Value (HML) earned strongly in the 1990s and ...
Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...
Abstract: Matrix factorization (MF) is a fundamental problem in machine learning, which is usually used as a feature learning method in various fields. For complex data involving spatiotemporal ...
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