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 ...
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 ...
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