TSVR: An efficient Twin Support Vector Machine for regression
By Xin-jun Peng. Neural Networks, 2010
442 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/faa3b9f936ed1161f7551f95d35543482303c7c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- Evaluating calibration methods for predicting soil available nutrients using hyperspectral VNIR data (2018, methodology): “In this study, the predictive capacities of the calibration models were validated and compared with the ratio of performance to deviation (RPD) of the validation set: ∑ ∑= = − − − = = m y y f x y mRPD SD/RMSE ( ) / ( ( ) ) /( 1) i m i i m i i1 2 1 2 (2) The ratio between the interpretable sum square”