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  "Title": "Bias-Corrected Bayesian Classification with Selected Features",
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  "Description": "Fully Bayesian Classification with a subset of\nhigh-dimensional features, such as expression levels of genes.\nThe data are modeled with a hierarchical Bayesian models using\nheavy-tailed t distributions as priors. When a large number of\nfeatures are available, one may like to select only a subset of\nfeatures to use, typically those features strongly correlated\nwith the response in training cases. Such a feature selection\nprocedure is however invalid since the relationship between the\nresponse and the features has be exaggerated by feature\nselection. This package provides a way to avoid this bias and\nyield better-calibrated predictions for future cases when one\nuses F-statistic to select features.",
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