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Learning in the presence of data imbalances presents a great challenge to machine learning. Imbalanced data sets represent a significant problem because the corresponding classifier has a tendency to ignore samples which have smaller representation in the training sets. In this paper, we propose an ensemble-based learning algorithm as a new ensemble classifier model called as SVM-C5.0 Ensemble Classifier...
This paper proposes an extending version of graphical user interface in neural network toolbox of MATLAB 7.1 which releases the limit of setting more layers in the feedforward network creating. Users can set up a feedforward network with any architecture. Based on this interface two simple applications are applied, namely, a simple voting system design and 3-phase generator output detector design...
An approach for face recognition was proposed based on features called fractal dimension in this paper; it is an efficient representation of natural texture. A grayscale image can be divided into many non-overlapping blocks and the fractal dimension can be computed in every single block to keep better performance of representing subtle texture with fractal dimension when it was applied to present...
The computer networks experiment is practised in applied universities. Ii is necessary that the course of design thought should be established. Network software should be installed and experiment environment of network devices should be built perfectly. The teacher should design the comprehensive experiment contents and use bilingual teaching. The purpose is to cultivate network technology engineers...
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