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Showing 1 to 2 of 2 for “"mixed type of data"”.
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Robust Feature Screening Procedures for Mixed Type of Data
High dimensional data have been frequently collected in many fields of scientific research and technological development. The traditional idea of best subset selection methods, which use penalized L_0 regularization, is computationally too expensive for many modern statistical applications. A large …
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Large Margin Random Forests On Mixed Type Data
Incorporating various sources of biological information is important for biological discovery. For example, genes have a multi-view representation. They can be represented by features such as sequence length and physical-chemical properties. They can also be represented by pairwise similarities, …