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The knowledge acquisition process with Nested Ripple Down Rules as the underlying representation has three distinct features: Firstly, it allows the expert to introduce new domain terms during the knowledge acquisition process.
The knowledge acquisition part relates each case family to an incomplete rule in the RBR knowledge base and proposes modifying the rule.
The knowledge acquisition process was conducted based on the Inferential Modeling Technique, and the knowledge-based system was implemented with G2.
The knowledge acquisition test was developed with the assistance of a domain expert, this test allowed us to capture the level of knowledge acquisition students obtained (we call it Learning Performance).
The knowledge acquisition test grades range from "A" to "F".
The knowledge acquisition module is based on the 34 informative PCPs, a decision tree method C5.0 [ 42] was used to extract if-then rule-based knowledge for the biologist to understand the mechanism of B-cell epitopes in HCV.
They are captured during the knowledge acquisition process.
Knowledge management is structuring the knowledge acquisition and maintenance process.
This is done by implicitly assigning priorities to defaults during the knowledge acquisition process.
The developed system facilitates the knowledge acquisition and improves the maintainability of the knowledge base.
Then, based on the proposed matrix operations, the knowledge acquisition algorithms are designed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com