Naïve Bayes vs. Support Vector Machine: Resilience to Missing Data.
Hongbo ShiYaqin LiuPublished in: AICI (2) (2011)
Keyphrases
- missing data
- support vector machine
- bayes classifiers
- bayes classifier
- tree augmented
- naive bayes classifier
- incomplete data
- bayesian classifiers
- missing values
- support vector
- feature selection
- bayesian network classifiers
- structure from motion
- low rank
- bayesian networks
- k nearest neighbor
- feature space
- motion segmentation
- matrix factorization
- training data
- knn
- machine learning
- feature vectors
- kernel function
- multiple imputation
- imprecise data
- training set
- radial basis function
- loss function
- naive bayes
- collaborative filtering
- bayes net
- rule learner
- dirichlet process mixture models
- automatic relevance determination
- data sets
- data imputation