A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction.
Volker TrespThomas BriegelPublished in: NIPS (1997)
Keyphrases
- missing data
- recurrent neural networks
- missing values
- perfect phylogeny
- data imputation
- chaotic time series
- neural network
- feed forward
- structure from motion
- low rank
- incomplete data
- recurrent networks
- automatic relevance determination
- multiple imputation
- optimal solution
- reservoir computing
- imputation methods
- matrix factorization
- echo state networks
- missing information
- blood glucose
- closed form