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Cognitive diagnostic models (CDMs) are a new class of test models developed for educational assessment. They have gained growing attention in recent years for their distinctive ability to provide detailed feedback about examinees' ability. Automatic test assembly (ATA), as in other test models, has been one of the most critical issues in the development and applications of CDMs. However, developing...
In power grid, we focus on one kind of high performance computing applications, that is, power system computing and Simulation (PCS) applications. PCS applications are always broken down into several sub-tasks depending on each other, which can be represented as a DAG. Genetic algorithm (GA) has been widely used to solve the dependent tasks scheduling. However the conventional GA is too slow to be...
Many previous genetic algorithm methods can get much better example results in KDD cup 99 dataset. In the real intrusion detection system, the software needs update the rule even everyday. In this paper, we expand previous work and present a fitness function, propose an efficient rule generator for denial of services of network intrusion detection. We use more chromosomes with relevant features and...
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