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To overcome the limitation of numeric feature description of software modules in Software defect prediction, we propose a novel module description technology, which employs the classifying feature, rather than numerical feature to describe the software module. Firstly, we construct independent classifier on each software metric. Then the classifying results in each feature are used to represent every...
Whether the fractal images can be applied to design, depends on the degree satisfaction of users for images. In images, colors are the main visual factors of affecting emotion; it is used as the determinant in fractal images evaluation. The evaluation of color design is nonstatistical; it is easy to bring evaluating deviation because of personal bias. Using artificial neural network, the color psychological...
Stock price variation predictions are at the core of many research issues, and neural networks (NNs) are widely applied and were proven to be more efficient than time series forecasting for stock price forecasting. However, this type of research always determines the parameter settings of the NNs rationally through a trial-and-error methodology. This paper integrates design of experiment (DOE) and...
The two-level synthetical evaluating model is presented in this paper based on the factors of substance and people which affect the industrial product model design and the fuzzy feature existed in the mobile phone model evaluation. And a synthetical evaluation system is formed as to mobile phone by the way of the radial basis function neural network. And it gained a good result from evaluating. Experimental...
In this paper, we propose a novel palmprint retrieval scheme based on principal lines. In the proposed scheme, the principal lines are firstly extracted by the modified finite radon transform. And then, a lot of key points located in three principal lines i.e. heart line, life line and head line are detected. Finally, the palmprints are retrieved by several key points' position and direction. The...
Ambiguous words refer to words that have different meanings such as apple, window, etc. In text classification they are usually removed by feature reduction methods like information gain. Sometimes there are too many ambiguous words in the corpus that we cannot simply throw them away, especially when classifying documents from the Web. In this paper we look for a method to classify titled documents...
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