Report title: Bidirectional Attentional Encoder-Decoder and seabet sports betting platform
Reporting time: April 9, 2019 (Tuesday) 9:00-11:00 am
Reporting location: Computer Building 212 of the school headquarters
Reporter: Kamal Al-Sabahi(Zayd), 16th-level PhD student studying abroad，School of Computer Science，seabet sports betting platform
Abstract:
Sequence generative models with RNN variants, such as LSTM, GRU, show promising results. However, they still have some issues that limit their performance, especially while dealing with long sequences. One of the issues is that all current models employ a unidirectional decoder, which reasons only about the past and still limited to retain future context while giving a prediction. This makes these models suffer on their own by generating unbalanced outputs. To this end, bidirectional encoder-decoder architecture is used to tackle the aforementioned issues. Moreover, a seabet sports betting platform mechanism is used to make inference from the bidirectional model.
