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Abstract-Prediction of protein-proteininteraction sites is very important to the function of a protein and drug design. In this paper, we adequately utilize the characters of ensemble learning, which can improve the accuracy of individual classifier and generalization ability of the system, and propose a new prediction method of protein-protein interaction sites: ensemble learning method based on...
The Covering algorithm is proposed by Professor ZhangLing and ZhangBo in the 20th century, which simulates the structure of human learning, building a Constructive Neural Network Learning Model. Covering algorithm has been widely used to solve massive data classification problem, because its performance. The covering classification algorithm has fast learning, high recognition rate, massive data processing...
A novel hybrid wavelet-based fractal feature extraction method and an Artificial Neural Networks (ANNs) classification system are proposed for the detection of microcalcification clusters (MCCs) in the digital mammograms. The hybrid wavelet-based fractal feature set consists of the surrounding region dependence based features and the newly proposed wavelet-based fractal features. Experiments demonstrated...
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