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Statistical mechanical analysis of sparse linear regression as a variable selection problem
The analysis is conducted through evaluation of the entropy, an exponential rate of the number of combinations of variables giving a specific value of fit error to given data which is assumed to be generated from a linear process using the design matrix.
Exhaustive search for sparse variable selection in linear regression
By collecting the results of exhaustively computing ES-K, various approximate methods for selecting sparse variables can be summarized as density of states.
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