Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise.
Ronaldo C. PratiJulián LuengoFrancisco HerreraPublished in: Knowl. Inf. Syst. (2019)
Keyphrases
- emerging topics
- class noise
- learning from noisy data
- noisy data
- pattern recognition
- support vector
- hot topics
- classification accuracy
- class imbalance
- decision trees
- data quality
- support vector machine
- machine learning
- image classification
- data mining
- feature extraction
- statistical analysis and data mining
- binary classifiers
- feature vectors
- social media
- training samples
- expectation maximization
- classification models
- multi class
- noise model
- high dimensionality
- imbalanced data
- imbalanced datasets
- training set
- bayesian networks
- supervised learning