The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance.
John H. HolmesWarren B. BilkerPublished in: IWLCS (2002)
Keyphrases
- missing data
- learning rate
- learning classifier systems
- multiple imputation
- incomplete data
- missing values
- automatic relevance determination
- pattern recognition
- convergence rate
- machine learning
- structure from motion
- support vector
- matrix factorization
- support vector machine
- decision rules
- learning algorithm
- error function
- feature extraction
- rule sets
- decision trees
- real valued
- convergence speed
- classification rules
- machine learning algorithms
- association rules
- imputation methods
- class labels
- fuzzy sets