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We propose two complementary baseline models.
Section 7 discusses the two baseline models.
The multiscale model is extensively validated against baseline models.
Premium models, starting at $1,750, come with Blu-ray burners, while the baseline models will start around $1,000.
On DCASE2016 dataset, only DNN model using CQT features performs better than our baseline models.
The results of our baseline models are shown in Table 1.
In the subsequent section we describe the baseline models, and compare their performances.
Models with GaussLTFB module perform consistently better than the corresponding baseline models.
Comparing with other CNN related works, our baseline models on both datasets achieve gains in accuracy.
In conclusion, the results of our baseline models are in line with expectations on both datasets.
Our work is based on two baseline models: Paragraph Vector and GloVe.
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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