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NRS: The naive random sampling algorithm shown in [1].
And this work is an extension of our work [1], in which we proposed naive random sampling (NRS) and incremental random sampling (IRS) algorithms.
Probably, we can imagine that even the naive random selection scheme can also be used to efficiently disseminate a piece of information if k increases sufficiently.
The first approach we used was implementing a naive random detection module, which simply randomly passed any value that was flagged to be passed to the context detector.
Since naive random sampling (NRS) and incremental random sampling (IRS) are similar in this respect, all the pictures in Fig. 8 show the results of IRS algorithm based on the row mode window.
We first observe that the random sampling strategy has the worst risk among the three strategies, suggesting that optimizing the experiments to be made for parameter estimation outperforms a naive random choice of experiments.
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The naive Bayes, random forest, and k-nearest neighbor classifiers performed less well, particularly with respect to sensitivity.
Acencio et al [ 19] build their classifier by combining eight decision tree classifiers (REP tree, naive bayes tree, random tree, random forest, J48, best-first decision tree, logistic model tree and alternating decision tree).
But having reduced the plane to bare essentials, he began filling it up again, resulting in the aesthetic confusion of paintings such as Mousehole (1947), which combines still life, naive landscape and random abstract figures all at the same time.
Experiments reveal that this novel outlier detection method improves the performance of robust software fault prediction models based on Naive Bayes and Random Forests machine learning algorithms.
Phage libraries displaying polypeptides, such as naive antibodies or random peptides, have been extensively used for identifying specific molecules with high affinity for a target ligand[34 36].
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