Fixed parameters Support Vector Regression for outlier detection
The support vector machine (SVM) is currently a very popular technique of outlier detection as it is a robust model and does not require the data to be of full rank. With a view to evaluate the approximate relationship among the variables, there is necessity to detect outliers that are commonly pres...
| Main Authors: | Rana, Sohel, Dhhan, Waleed, Midi, Habshah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editura Academia de studii economice
2018
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/72771/ http://psasir.upm.edu.my/id/eprint/72771/1/Fixed%20parameters%20Support%20Vector%20Regression%20for%20outlier%20detection%20.pdf |
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