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The class imbalance problem usually occurs in real applications. The class imbalance is that the amount of one class may be much less than that of another in training set. Under-sampling is a very popular approach to deal with this problem. Under-sampling approach is very efficient, it only using a subset of the majority class. The drawback of under-sampling is that it throws away many potentially...
An effective feature selection is very important for an classifier. Improved feature selection method can enhance its classifier efficiency in the practical test validates. This paper studies the principle·, merits and limitations of the prevalent feature selection method. Then, the paper adopts two-stage selection modulus which is calculated by the position of paragraph and sentences respectively,...
Even today rescheduling in job-shop systems is still a challenge. There are approaches to solve the problem like analytical, heuristic and simulation ones. Analytical methods cannot meet the requirements of rescheduling regarding solution time, especially for large problem instances. Analytic approaches as well as simulation based systems need a long calculation time. To generate good solutions a...
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