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The base classifiers used were Naive Bayes, Random Forest and Weka's implementation of a Support Vector Machine (SMO) and a C4.5 (J48) decision tree.
These requirements are refined into the implementation of a support vector machine (SVM) algorithm which enables us to integrate automated decision making in embedded systems.
This article is devoted to work on the elaboration and the implementation of a support program designed for parents whose child has died.
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A concurrency optimization method and a prototype implementation of a supporting analysis tool have been developed.
For each of these, the protocol outlines the implementation of a supporting information infrastructure in hierarchical patterns ranging from technical components and system functions to pandemic evidence production.
Details regarding the design and implementation of a decision support tool making use of the developed support vector machine classifier is then elaborated on in a separate section.
Additionally, we illustrate the practical applicability of these findings by using a prototypical implementation of a decision support system.
This paper describes the development and implementation of a decision support system for the feasibility and conceptual design of CMSs.
This paper describes the development and implementation of a decision support system to aid the selection of engineered equipment suppliers in the early stages of capital projects.
This paper reports the development and implementation of a decision support system in a non-traditional domain — the motion picture industry.
The performance of the VLGA is highlighted through the implementation of a decision support system (DSS) applied to the surveillance maritime problem using real data instances.
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