What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...
Abstract: Approximate computing is an emerging computing paradigm offering benefits in hardware metrics, such as design area and power consumption, by relaxing the requirement for full accuracy. In ...
Python Matrix Factorization (PyMF) is a module for several constrained/unconstrained matrix factorization (and related) methods for both sparse and dense matrrices ...
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