End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data.
Jinhee KimTaesung KimJang-Ho ChoiJaegul ChooPublished in: ICPR (2020)
Keyphrases
- end to end
- missing values
- multi task learning
- multi task
- data imputation
- missing data
- multiple tasks
- gaussian processes
- learning tasks
- incomplete data
- learning problems
- high order
- multitask learning
- high dimensional data
- theoretical analysis
- transfer learning
- hyperparameters
- incomplete data sets
- congestion control
- learning models
- metric learning
- mutual information
- learning algorithm
- imputation methods
- data mining
- data sets
- inductive learning
- pattern recognition
- bayesian networks
- computer vision
- machine learning