Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting.
Srinivas ChakravartyHaydar DemirhanFurkan BaserPublished in: Appl. Soft Comput. (2020)
Keyphrases
- machine learning methods
- machine learning
- arbitrary shape
- missing data
- noisy data
- machine learning algorithms
- data points
- machine learning approaches
- clustering algorithm
- ensemble methods
- upper confidence bound
- regression model
- outlier detection
- statistical methods
- data clustering
- robust regression
- robust statistical
- noise level
- cluster analysis
- signal to noise ratio
- support vector
- decision trees
- measurement errors
- domain knowledge
- regression analysis
- linear regression
- gaussian noise
- support vector regression
- random noise
- learned knowledge
- least squares
- real valued functions
- hierarchical clustering
- input data