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We tested their performances and compared them with other popular methods on two simulated nucleotide sequence data sets: one generated from a tree topology and the other from a complicated evolutionary history containing three reticulate events.
Comparisons with other methods on two spike-in data sets and one real data set show that our nonparametric methods are a superior alternative for background correction of Affymetrix data.
They showed agency operatives using harsh interrogations methods on two Qaeda detainees, Abu Zubaydah and Abd al-Rahim al-Nashiri.
Experimental results show that our approach significantly outperforms existing methods on two benchmark datasets.
The team's model only outperformed existing methods on two of four small text classification data sets, the MR and CR data sets.
The new method was extensively tested and compared with two benchmark methods on two wide-baseline datasets.
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Figure 6 Tracking examples of five methods on ten challenging videos.
Fig. 7 Visual comparison of GAC model with three geometrical methods on five images.
We also tested the four ATR methods on three visible-band video sequences.
We have tested our numerical methods on five linear and two non-linear problems.
10-fold cross-validation results of different machine learning methods on four descriptors.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com