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In other words, we solve for the underlying peaks which when convolved with the kernel and added to the smooth baseline result in the observed data.
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The best systems re-engineered every stage of the baseline resulting in reductions in word error rate from 33.4% to as low as 5.8%.
Sham rTMS compared to baseline resulted in isolated normalized decreases in rCMRglu in left dorsal anterior cingulate and left basal ganglia, and increases in posterior association and occiptal regions.
The carbon charge was however paired with a rebate mechanism whereby units received rebates at the end of the fiscal year based on their performance relative to a baseline, resulting in a net charge much smaller than the social cost of carbon.
First, we introduce convolutional neural networks in Section 2, and then we apply them on TIMIT to present baseline results in Section 2.1.
In order to keep the tables concise, we only included the top 10 SIMPLE descriptors that best the baseline results in both collections.
The estimated coefficients for the main outcomes are somewhat smaller than the baseline results in Table 5, but they remain significant at the usual confidence levels.
The question we wanted to address was whether (and which) ensemble methods could improve upon these baseline results in an unbiased setting.
The baseline results in Table4 show a poor performance when neutral speech HMMs are used to recognize whispered speech as expected.
It can be seen that the proposed countermeasure presented the best results, overtaking the baseline results in both databases, thus confirming the benefits of encoding and exploiting not only the facial appearance but also the facial dynamics information.
The baseline results in Table 4, without consideration of the timing of decisions, indicate that output price and quantity are positively associated with the initial decision by seafood processors to adopt HACCP.
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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