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It can be easy to collect multiple noisy labels for the same object via Internet-based crowdsourcing systems. Labelers may have bias when labeling, due to lacking expertise, dedication, and personal preference. These cause Imbalanced Multiple Noisy Labeling. In most cases, we have no information about the labeling qualities of labelers and the underlying class distributions. It is important to design...
The nodules and the multiple times larger non-nodules of the regions of interested(ROIs) in lung areas are achieved, that would lead to a serious imbalance on the sample data. Many scholars have proposed some algorithms to solve this problem. In this paper, in order to guarantee that there is no correlation among the extracted characteristics, the PCA method is adopted to optimize and reduce dimensions,...
In order to analyze the data rationally in the process of teaching study, some statistical methods are used in this paper. By introducing descriptive statistics, parametric hypothesis test, one-way analysis of variances (ANOVA) and correlation analysis, the problem of data analysis in practice can be rationally solved. For illustration, some practical cases are utilized. And the result shows that...
With the advent of informational society, the integration of information technology and practical curriculum of vocational education have aroused widespread concern. This paper deeply analyzes integrated case, based on the necessity of integration between the information technology and practical curriculum of vocational education. Then it also discusses how to optimize the effectiveness of teaching...
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