LAUSR

Support vector machine with truncated pinball loss and its application in pattern recognition

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1 Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"

DOI: 10.1016/j.chemolab.2018.04.003

Abstract: Abstract Support vector machine(SVM) with pinball loss(PINSVM) has been recently proposed and shown its advantages in pattern recognition. In this paper, we present a robust bounded loss function (called L t -loss) that truncates pinball… read more here.

Keywords: support vector; pinball loss; vector machine; proposed tpinsvm ... See more keywords

Generalized Pinball Loss SVMs

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1 Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.08.079

Abstract: Abstract Support Vector Machine (SVM) is a well-known efficient classification technique which appropriately trade-offs between the training error and the generalization ability of the classifier. But SVM’s are known to be sensitive towards noise and… read more here.

Keywords: pinball loss; svm model; svm; pin svm ... See more keywords

Sparse additive machine with pinball loss

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1 Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.12.129

Abstract: Abstract Sparse additive models have shown promising performance for classification and variable selection in high-dimensional data analysis. However, existing methods are limited to the error metric associated with hinge loss, which are sensitive to noise… read more here.

Keywords: additive machine; pinball loss; sparse additive; machine pinball ... See more keywords

Ordinal Regression With Pinball Loss.

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3 Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3258464

Abstract: Ordinal regression (OR) aims to solve multiclass classification problems with ordinal classes. Support vector OR (SVOR) is a typical OR algorithm and has been extensively used in OR problems. In this article, based on the… read more here.

Keywords: svor; class; loss; pinball loss ... See more keywords