A Method for the Detection of the Most Suitable Fuzzy Implication for Data Applications.
Panagiotis PagouropoulosChristos D. TzimopoulosBasil K. PapadopoulosPublished in: EANN (2017)
Keyphrases
- synthetic data
- detection method
- input data
- detection algorithm
- database
- prior knowledge
- test data
- significant improvement
- data sets
- fuzzy membership functions
- noisy data
- prior information
- neural network
- high quality
- pairwise
- knowledge discovery
- data collection
- training samples
- training data
- statistical methods
- objective function
- information loss
- evaluation method
- face recognition
- missing values
- missing data
- data structure
- clustering method
- data analysis
- labeled data
- training set
- probabilistic model