| R.T. Clemen Combining Forcasts: A Review and Annotated Bibliography. International Journal of Forcasting, 5:559-583. |
....studies in the last 5 years have shown that integrating multiple learned models helps to increase both accuracy and efficiency. There are different techniques, but within the scope of combining classifiers only [7] there are mainly three proposed methods: voting (unweighted and weighted) [5, 11] , gating function [12] and stacking [15] The goal of stacking is to learn a combining classifier that reflects the correlation of predictions of underlying base classifiers that are combined. Following Wolpert[15] the general scheme for stacking works as follows. We have t different algorithms ....
R.T. Clemen Combining Forcasts: A Review and Annotated Bibliography. International Journal of Forcasting, 5:559-583.
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R.T. Clemen Combining Forcasts: A Review and Annotated Bibliography. International Journal of Forcasting, 5:559-583.
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