Sparse Nonparametric Regression With Regularized Tensor Product Kernel
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With growing interest to use black-box machine learning for complex data with many feature variables, it is critical to obtain a prediction model that only depends on a small set of features to maximize generalizability. Therefore, feature selection remains to... ...
