File:2018 DeepSequenceLearningwithAuxilia Fig4.png
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Summary
Figure 4: Seq2Seq: The Sequence to Sequence model predicts future traffic speed [math]\displaystyle{ \{\tilde{v}_{t+1},\tilde{v}_{t+2}, \cdots ,\tilde{v}_{t+t'} \} }[/math], given the previous traffic speed [math]\displaystyle{ {v_1,v_2, ...v_t } }[/math]. In:Liao et al.(2018)
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 22:46, 27 February 2019 | | 544 × 225 (16 KB) | Omoreira (talk | contribs) | <B>Figure 4:</B> Seq2Seq: The Sequence to Sequence model predicts future traffic speed <math>\{\tilde{v}_{t+1},\tilde{v}_{t+2}, \cdots ,\tilde{v}_{t+t'} \}</math>, given the previous traffic speed <math>{v_1,v_2, ...v_t }</math>. In:[[2... |
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