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The SSVM-based CEM systems outperformed the CRF-based CEM systems when using the same features.
The dataset is then visualized with CheS-Mapper, using the same features for embedding that were used to validate the (Q SAR model.
Our experiments on the CHEMDNER challenge corpus show that the SSVM-based systems outperformed the CRF-based systems when using the same features.
This has historically been a huge issue for Google, not only because of security reasons, but also because it fragments the ecosystem, and makes it difficult for Google to get its entire install base using the same features and tools.
We proposed a version of SimBoost, called SimBoostQuant, which, using the same features, predicts binding affinities as well as prediction intervals as a measure of the confidence of the prediction.
We built a logistic regression model using the same features in Pan et al. (see Methods).
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What's more, you can also send SMS text messages via your Mac using the same feature.
The visual clustering algorithms were applied to the same datasets using the same feature set as described in Sect.
Using the same feature learning framework, Tang and Liu [15] also propose an algorithm to learn dense features from the d-smallest eigenvectors of the normalized graph Laplacian.
This is the same as the optimization problem of Equation (20) with fixed bases b k and can be solved using the same feature-sign search algorithm.
On the basis that the same principle can be applied to feature selection, we describe two approaches: (i) homogeneous, i.e., using the same feature selection method with different training data and distributing the dataset over several nodes; and (ii) heterogeneous, i.e., using different feature selection methods with the same training data.
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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