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In network forensic system, there are huge amount of data should be processed, and the data contains redundant and noisy features causing slow training and testing process, high resource consumption as well as poor detection rate. In this paper, a schema is proposed to reduce the data of the forensics using manifold learning. Manifold learning is a popular recent approach to nonlinear dimensionality...
Rotating stall is a kind of unsteady flow in axial compressors which significantly reduce the performance of turbofan engines. Identification and rapid detection of rotating stall is a very important issue. In this paper, based on the high-order Moore-Greitzer model (the Mansoux model) which captures the transient characteristic of rotating stall, we firstly analyze the properties of the model including...
In practice it is existed a matter in classified problem. The problem can be described as that the different sort has different wrong classified cost. In this paper we propose a cost-sensitive SVM approach based on weighted attribute. The approach first calculates the weightiness of feature attributes corresponded to the classification attribute, then calculates the corresponding weightiness of attribute...
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