On classification with missing data using rough-neuro-fuzzy systems.
Robert NowickiPublished in: Int. J. Appl. Math. Comput. Sci. (2010)
Keyphrases
- missing data
- neuro fuzzy systems
- multiple imputation
- missing values
- low rank
- decision trees
- incomplete data
- automatic relevance determination
- pattern recognition
- matrix factorization
- support vector machine
- supervised learning
- decision rules
- fuzzy rules
- feature extraction
- neuro fuzzy
- machine learning
- data imputation
- text classification
- support vector
- genetic algorithm
- training set