Missing Data Imputation for Supervised Learning.
Jason PoulosRafael VallePublished in: Appl. Artif. Intell. (2018)
Keyphrases
- missing data imputation
- supervised learning
- missing values
- unsupervised learning
- machine learning
- active learning
- learning algorithm
- training data
- training set
- semi supervised learning
- semi supervised
- labeled data
- website
- multiple instance learning
- reinforcement learning
- support vector
- nearest neighbor
- decision trees
- data preparation
- data sets