The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance.

John H. Holmes Warren B. Bilker

Published 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