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Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening - MaRDI portal

Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening (Q5248920)

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scientific article; zbMATH DE number 6431835
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English
Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening
scientific article; zbMATH DE number 6431835

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    Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening (English)
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    28 April 2015
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    gene regulations
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    independence learning
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    nonlinear regressions
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    nonnegative garrote
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    sigmoid function
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    sure screening
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