Information theory provides a unifying framework for both model selection and data compression by quantifying the trade-off between model complexity and the fidelity with which a model represents data ...
Lossy compression techniques reduce the size of large scientific datasets by selectively discarding or coarsening data elements that contribute least to the overall information content. Unlike ...
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