3 ms·
The baselines they compare to are only other neural network models, rather than models that actually state of the art for time series. This makes the author's a
by Tarq0n 7y ago
The baselines they compare to are only other neural network models, rather than models that actually state of the art for time series. This makes the author's abstract rather disingenuous.
- dave-anderson 7y agoThe paper has no problem there at all. Many prior papers have demonstrated that neural network models significantly outperform non-neural network models in transportation forecasting like https://arxiv.org/abs/1707.01926 https://arxiv.org/abs/1707.01926, http://www-scf.usc.edu/~yaguang/papers/aaai19_multi_graph_convolution.pdf http://www-scf.usc.edu/~yaguang/papers/aaai19_multi_graph_co... As this paper has chosen the state-of-the-art neural network models as baselines, it has already done enough and decent jobs on choosing baselines.