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Modern statistical inference techniques may be able to improve the sensitivity and specificity of resting state functional magnetic resonance imaging (rs-fMRI) connectivity analysis through more realistic assumptions. In simulation, the advantages of such methods are readily demonstrable. However, quantitative empirical validation remains elusive in vivo as the true connectivity patterns are unknown...
The classification performance of previous IG algorithm may decline obviously because of the maldistribution of classes and features, due to which an improved text feature selection method UDsIG is proposed. First, we select features by classes to reduce the impact on feature selection when the classes are unevenly distributed. After that, we use feature equilibrium of distribution to decrease the...
Blogosphere has become a hot research field in recent years. As the existing detection algorithm has problems of inefficient feature selection and weak correlation, we propose an algorithm of splog detection based on features relation tree. We could construct the tree according to the correlation of the features, reserving the strong relevance features and removing the weak ones, then prune the redundant...
It is very important that to establish a rational and quantitative mathematical model for the safety management of coal enterprises. The model can help managers to develop practical safety management objectives. It can help people find out the safety production trends also. In this paper, time discrete state equation on the principle of Cybernetics was used to study coal mine safety production model...
Middle and small size fault structure is the key geological factor affecting the safety production of DongPang mine field. Finding out development character of middle and small fault structure in DongPang mine field is to provide the geological premise for mining design of coal mine and working face layout. Based on the analysis of real data, 20 factors affecting the development of middle and small...
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