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Parameter-Transferred Irreducible LSTM for Traffic Data Imputation
Jungmin Kwon,
Hyunggon Park
Electronic and Electrical Engineering
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peer-review
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Dive into the research topics of 'Parameter-Transferred Irreducible LSTM for Traffic Data Imputation'. Together they form a unique fingerprint.
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Mathematics
Factorization
100%
Irreducibles
100%
Data Imputation
100%
Mean Square Error
50%
Wide Range
50%
Adjacency Matrix
50%
Absolute Error
50%
Complexity Space
50%
Engineering
Traffic Data
100%
Long Short-Term Memory
100%
Road
75%
Roadsides
75%
Model Parameter
25%
Root Mean Square Error
25%
Dimensionality
25%
Mean Absolute Error
25%
Speed Data
25%
Adjacency Matrix
25%
Earth and Planetary Sciences
Interpolation
100%
Root-Mean-Square Error
100%
Traffic Congestion
100%
Error Propagation
100%
Computer Science
Long Short-Term Memory Network
100%
Memory Model
75%
Spatiotemporal Data
25%
Training Model
25%
Mean Absolute Error
25%
Traffic Environment
25%
Space Complexity
25%
Adjacency Matrix
25%