Locally linear reconstruction based missing value imputation for supervised learning.
Pilsung KangPublished in: Neurocomputing (2013)
Keyphrases
- missing values
- locally linear
- supervised learning
- data imputation
- missing data
- linear combination
- metric learning
- linear classifiers
- unsupervised learning
- incomplete data
- high dimensional data
- locally linear embedding
- highly nonlinear
- semi supervised
- reinforcement learning
- training data
- semi supervised learning
- training set
- learning tasks
- labeled data
- high resolution
- imputation methods
- machine learning
- incomplete data sets
- generalization error
- active learning
- learning algorithm
- data sets
- training samples
- k nearest neighbor
- decision boundary
- low dimensional
- motion capture data
- linearly separable
- dimensionality reduction
- data analysis