| 词汇 | example_english_bootstrapping |
| 释义 | Examples of bootstrappingThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Bootstrapping analysis with 1000 replicates was conducted to evaluate the statistical significance of each branching point. When the bootstrapping process finished, we had a ranked list of hypothesized words for each of the eleven semantic classes. Bootstrapping allows the estimation of the sampling distribution of virtually any statistic, merely by re-sampling and re-estimating it multiple times. Bootstrapping knowledge representations: from entailment meshes via semantic nets to learning webs. The 95% confidence intervals for mean values of this index were computed by bootstrapping. Ninety-five per cent confidence intervals are derived by parametric bootstrapping of the data (see text). Hypothesis tests and confidence intervals on vector coefficients were determined by bootstrapping over clone means ; this test assumes that family means were calculated without error. However, due to the non-independence of heterozygous genotypes in diallel crosses bootstrapping cannot be performed. The idea of indirect downward bootstrapping is probably applicable to many additional bootstrapping cases. This bootstrapping mechanism dynamically grows the seed word list so that each iteration produces a larger category context. The seed segmenter is improved iteratively by applying a bootstrapping scheme to a very large unsegmented corpus. The bootstrapping algorithm found many new members of each class, although the quality of the ranked lists varied depending on the semantic class. The same topology was found by bootstrapping with high bootstrap values (data not shown). The most confident predictions are added to the lexicon automatically and the process repeats in a bootstrapping fashion. If, say, phonological and semantic bootstrapping occur in ontogenesis, they rely on producing formally consistent meanings. For digital lexical resources this involves a bootstrapping problem: if no such resource exists something needs to be used provisionally. The nonparametric bootstrapping approach was used to plot the incremental costs and effects on the cost-effectiveness plane (1), using 2,000 samples. A 50 % majority rule consensus tree was generated by bootstrapping 100 times the weighted dataset, using the 90 % majority rule consensus tree as a constraint. In spite of the fact that the bootstrapping approach is very appealing due to its reduction in handcrafting, it does present some problems. This method adjusted for baseline values and provided results that could be used in the bootstrapping procedure required for the cost-effectiveness analysis. This process requires a bootstrapping method: first some initial adaptive behavior is implemented, then tested with users, revised, and tested again. Nonparametric bootstrapping is a method based on random sampling with replacement based on individual data of the participants (4;13). When the bootstrapping process halts, a ranked list of hypothesized category words is presented to a user for review. These results could be an instance of bilingual bootstrapping. Bootstrapping techniques in the analysis of mean and covariance structures. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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