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We show that the extended infinite Markov model outperforms simple extrapolation methods and correctly predicts proteome coverage progression.
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In Table 3, we show that our model outperforms a similar but simpler LZW-BLAST 1-NN model (Kocsor et al., 2006).
Although we used advanced machine learning techniques to control overfitting, i.e. linear combination of univariate models or L1 regularization in Cox's proportional hazards model, these complex models failed to outperform simpler ones in a validation setting.
A one-process model outperforms a two-process model.
In both tests, the TDB model outperforms all other strategies.
Furthermore, taking advantage of recently made available data mining libraries [9, 10] we outperformed simple extrapolation models and previous works [5].
Apart from c-Fos and TFs with limited data, both the SVM and HPP models outperformed the simple peak height-based model for finding consistent TFBS.
However, the simple two-factor model outperformed the three-factor and the multitrait-multimethod model.
SIMPLE can skillfully reproduce the results from a three-dimensional ice sheet model and outperforms existing simple models, after similar calibration.
He claimed his model outperformed SRK and PR EOSs.
In the majority of tests, the researchers' model outperformed nearly all other models.
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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