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Stacked regression with restrictions

100%

Górecki T.

Discussiones Mathematicae Probability and Statistics

2005

tom 25

nr 1

103-113

When we apply stacked regression to classification we need only discriminant indices which can be negative. In many situations, we want these indices to be positive, e.g., if we want to use them to count posterior probabilities, when we want to use stacked regression to combining classification. In such situation, we have to use leastsquares regression under the constraint βₖ ≥ 0, k = 1,2,...,K. In their earlier work [5], LeBlanc and Tibshirani used an algorithm given in [4]. However, in this paper we use a more general algorithm given in [6].

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1 Discussiones Mathematicae Probability and Statistics

1 Górecki T.

1 2005

Wyniki wyszukiwania

Stacked regression with restrictions