Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning.
Jingjing LiuJie-Peng YaoJin-Hang LiuZhong-Yi WangLan HuangPublished in: Appl. Intell. (2024)
Keyphrases
- small sample
- multi task learning
- sample size
- multi task
- high dimensional
- support vector machine
- pattern recognition
- missing values
- learning tasks
- feature selection
- classification accuracy
- model selection
- learning problems
- machine learning
- support vector
- decision trees
- least squares
- high dimensionality
- text classification
- missing data
- supervised learning
- classification models
- svm classifier
- machine learning algorithms
- data sets
- nearest neighbor
- training set
- data analysis
- data mining