Titlebook: Soft Computing Applications and Intelligent Systems; Second International Shahrul Azman Noah,Azizi Abdullah,Zalinda Othman Conference proce

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A PSO-Based Feature Subset Selection for Application of Spam /Non-spam Detection,fication. However, in machine learning, Feature selection (FS) as a global optimization problem decreases irrelevant and redundant data and creates a set of acceptable results with high accuracy. This paper presents a feature selection algorithm based on particle swarm optimization (PSO), which decr

Debrief

The Effect of Normalization for Real Value Negative Selection Algorithm,ion algorithm. As one class classification, only the self sample is available during normalization; therefore there is less confidence it fully represents the whole problem when the non-self sample is unknown. The problem ‘out of range’ arises when the values of data being monitored exceed the bound

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Soft Computing Applications and Intelligent Systems978-3-642-40567-9Series ISSN 1865-0929 Series E-ISSN 1865-0937

Agronomy

Communications in Computer and Information Sciencehttp://image.papertrans.cn/s/image/870420.jpg