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Minimum Description Length Penalization for Group and Multi-Task Sparse Learning

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Figure

Table 2: Test-set accuracy, precision, and recall of MIC-MULTI and other methods on 5 instancesof various synthetic data sets generated as described in Section 5.1.1
Figure 1: Accuracy and number of features selected on five folds of CV for the Yeast and BreastCancer data sets
Table 3: The number of correct and spurious Features Selected and 10 Fold CV Test Errors averagedover 10 runs
Table 4: GSEA Data Sets.
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