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AdaBoost algorithm is proved to be a very efficient classification method for the balanced dataset with all classes having similar proportions. However, in real application, it is quite common to have unbalanced dataset with a certain class of interest having very small size. It will be problematic since the algorithm might predict all the cases into majority classes without loss of overall accuracy...
Particle swarm optimization algorithm is a kind of auto-adapted search optimization based on community.But the standard particle swarm optimization has the defects of prematurely, stagnation when applied in optimizing problems and easily leading to local minimum. A modified particle swarm optimization algorithm is proposed to improve from the initial solution and the search precision. The results...
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