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    LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) DAN ADAPTIVE RIDGE (Least Absolute Shrinkage and Selection Operator (LASSO) and Adaptive Ridge)

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    Date
    2014-04-10
    Author
    Yuliani Setia Dewi
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    Abstract
    The LASSO is a shrinkage and selection method for linear regression. It minimizes sum square of residual subject to sum of absolute coefficient less than a constant. Adaptive Ridge is special form of Ridge Regression, balancing the quadratic penalization on each parameter of the model. This paper describe the equivalence between LASSO (Least Absolute Shrinkage and Selection Operator) and Adaptive Ridge.
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    http://repository.unej.ac.id/handle/123456789/56814
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    • Fakultas Matematika & Ilmu Pengetahuan Alam [50]

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    Indonesia DSpace Group :

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