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The decision template combiner is trained by computing the decision templates DT for every class.
We refer to these two methods as Decision Templates and Dempster-Shafer, respectively.
Decision templates were reported to outperform other combiners (e.g. [18] and [19]).
Decision templates can also be used to compute a combination that is motivated by the evidence combination of the Dempster-Shafer theory.
For a new sample, the corresponding decision profile is computed and compared to the decision templates for all classes using a suitable distance measure.
For remediation, the top three priorities were 1) evaluation of remediation agents; 2) development of risk-based decision templates for sampling and remediation; and 3) reaerosolization studies and agent- and space-specific scenarios.
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The consulting service offered by the meteorologists from the regional offices is a low-threshold service as described above and the additional information often serves as a decision template.
We have developed a new method for measuring customer satisfaction ratio (CSR) by considering the following: mining both textual and quantitative data, multiple design parameters, mapping output on a scale of 0 1, and a decision template for means of measure.
The decision template combiner was introduced by Kuncheva [18].
The class with the closest decision template is the output of the ensemble.
Thus, the decision template combiner is a nearest-mean classifier that operates on decision space rather than on feature space.
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