A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets.
Sharon Torao-PingiMd. Abul BasharRichi NayakPublished in: AusDM (2022)
Keyphrases
- missing data
- discriminative classifiers
- data imputation
- bayesian network classifiers
- missing values
- discriminative learning
- low rank
- structure from motion
- incomplete data
- motion segmentation
- discriminative methods
- feature selection
- generative model
- matrix factorization
- training data
- support vector
- imprecise data
- imputation methods
- decision trees
- missing information
- naive bayes
- naive bayes classifier
- k nearest neighbour
- unsupervised learning
- multiple imputation
- data sets
- training set
- semi supervised
- database
- machine learning algorithms
- missing attribute values