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Deep sequence learning with auxiliary information for traffic prediction
Yike Gao
Imperial College London
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Dive into the research topics of 'Deep sequence learning with auxiliary information for traffic prediction'. Together they form a unique fingerprint.
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Keyphrases
Auxiliary Information
100%
Deep Sequence Learning
100%
Traffic Prediction
100%
Challenging Tasks
50%
National Celebration
50%
Online Crowds
50%
Sequence Learning
50%
Traffic Congestion
50%
Traffic Condition
50%
Route Recommendation
50%
Intersection Information
50%
Social Characteristics
50%
Encoder-decoder
50%
Quantitative Experiments
50%
Geographical Structure
50%
Baidu
50%
Learning Framework
50%
Social Event
50%
Online Query
50%
Public Performance
50%
Road Intersection
50%
Geographical Attributes
50%
Computer Science
Traffic Prediction
100%
Auxiliary Information
100%
Learning Framework
50%
Traffic Condition
50%