3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: not found

          Attention Is All You Need

          The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data. 15 pages, 5 figures
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Support vector machines

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Travel-Time Prediction With Support Vector Regression

                Bookmark

                Author and article information

                Contributors
                Journal
                IEEE Transactions on Intelligent Transportation Systems
                IEEE Trans. Intell. Transport. Syst.
                Institute of Electrical and Electronics Engineers (IEEE)
                1524-9050
                1558-0016
                February 2022
                February 2022
                : 23
                : 2
                : 1009-1018
                Article
                10.1109/TITS.2020.3019497
                8aa2ebd2-d141-4d38-895b-736aab036829
                © 2022

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                History

                Comments

                Comment on this article