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The main contribution of this work is building a recurrent neural network language modeling model that outperforms the basic RNNLM [6].
In particular, a focus is made on the graph-based visual saliency (GBVS) model that outperforms the reference model, as well as the spectral residual visual saliency (SRVS) model.
For all of the cases, there is at least one multiple-kernel model that outperforms the single-kernel model, and the optimal number of splits seems to be a function of interaction range and the sample size.
Using those patches as features, we build a compositional model that outperforms a number of popular algorithms on a one-shot learning task.
Using those patches as features, we build a compositional model that outperforms a number of popu- lar algorithms on a one-shot learning task.
With these ques- tions, we train a convolutional neural network model that outperforms models that achieve top results in similar answer selection tasks.
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In the crash severity estimation using the multinomial logit model that outperformed the ordered logit model, the travel lane number, the interaction between the travel lane number and the slow grade, the deep water film, and the rear-end collision type were more likely to increase the likelihood of injury crashes under rainfall compared with crashes involving only property damage.
Experiment results demonstrated the effectiveness of the proposed RF model that outperformed the state-of-the-art RFs, including Breiman's RF, GRRF and wsRF methods.
Obviously, this sort of thing is unacceptable – but the importance of the open source movement is that it does not simply reject such approaches to intellectual property, but has built viable alternatives – real business models that outperform proprietary interests but still freely share the knowledge they embody.
Recently, Stanek and Singer [Predicting random effects from finite population clustered samples with response error. J. Amer. Statist. Assoc. 99, 119 130] developed best linear unbiased predictors (BLUP) under a finite population mixed model that outperform BLUPs from mixed models and superpopulation models.
Finally, we tested the bifactor model that outperformed all the other models tested in this study.
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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