Wei LuSchool of Information Management;Wuhan Universitycnki数据与情报科学学报:英文版Qiuzi Zhang, Qikai Cheng, Yong Huang, Wei Lu, "A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications," In JDIS, 1(1), p.69-85 (2016)
It therefore is worth to mention that the ATS can only be used to test global testing hypotheses and the only answer the method can provide is, whether in any of the factor–time combinations any significant effects exist. On the other hand, the MCTP provides local multiplicity adjusted p-...
This paper describes a “bootstrapping” method which uses a broad-coverage, rule-based parser to compute probabilities while parsing an untagged corpus of NL text, and which then incorporates those probabilities into the processing of the same parser as it analyzes new text. Results are reported...
The central themes are a shift of focus away from interface functionality and on to collaborative learning and the role of participants. Finally, the method and outcomes are reflected on to highlight the scope, strengths and pitfalls of using storyboards to bootstrap task designs....
This paper describes a “bootstrapping” method which uses a broad-coverage, rule-based parser to compute probabilities while parsing an untagged corpus of NL text, and which then incorporates those probabilities into the processing of the same parser as it analyzes new ...
Our results show that using the calculated optimal thresholds for our test datasets, the average prediction accuracy of our method is 81%, an increase of 19% over that obtained using the same empirical threshold P =4 for all datasets. The proposed method is simple and convenient and easily ...
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renderer(String|Object, optional) - The renderer property allows you to explicitly identify the property or the factory method exported by the module that should be used when settings the renderer. Set the value to a String to identify that the renderer is exported by that name, or an object...
Risk factors identified were identical for the original sample and the bootstrap, and differences in odds ratios, as calculated with the method of variance estimation recovery, were not significant. Conclusions As examined using a bootstrapping procedure, group-based trajectory modeling offers a ...
As an alternative, a robust method was put forward to overcome this problem. The existence of outliers in the original sample may create problem to the classical bootstrapping estimates. There was possibility that the bootstrap samples may contain more outliers than the original dataset, since ...