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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…
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Keywords:
support vector;
pinball loss;
vector machine;
proposed tpinsvm ... See more keywords
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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…
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Keywords:
pinball loss;
svm model;
svm;
pin svm ... See more keywords
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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…
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Keywords:
additive machine;
pinball loss;
sparse additive;
machine pinball ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63878-z
Abstract: Sunspots play a crucial role in both weather forecasting and the monitoring of solar storms. In this work, we propose a novel combined model for sunspot prediction using improved gated recurrent units (GRU) guided by…
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Keywords:
gated recurrent;
sunspot;
model;
pinball loss ... See more keywords
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Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3255744
Abstract: In this article, a challenging and significant intelligent fault diagnosis task is investigated, in which multisource sensor signals with intense noise and outlier disturbances are jointly analyzed. Such a scenario has hardly been considered in…
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Keywords:
pinball loss;
intuitionistic fuzzy;
fault diagnosis;
tensor ... See more keywords
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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…
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Keywords:
svor;
class;
loss;
pinball loss ... See more keywords