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Published in 2025 at "Chaos"
DOI: 10.1063/5.0260466
Abstract: Kernel methods are crucial in machine learning due to their ability to model nonlinear relationships in data. Among these, Support Vector Machine (SVM) is widely recognized for its robust performance and appealing optimization properties. In…
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Keywords:
nonparallel hyperplane;
support vector;
machine;
vector machine ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3084404
Abstract: Twin support vector machine (TWSVM), which constructs two nonparallel classifying hyperplanes, is widely applied to various fields. However, TWSVM solves two quadratic programming problems (QPPs) separately such that the final classifiers lack consistency and enough…
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Keywords:
nonparallel hyperplane;
support vector;
vector machine;
elastic net ... See more keywords