CLC number: TP183
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
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XIN Dong, WU Zhao-hui, PAN Yun-he. Probability output of multi-class support vector machines[J]. Journal of Zhejiang University Science A, 2002, 3(2): 131-134.
@article{title="Probability output of multi-class support vector machines",
author="XIN Dong, WU Zhao-hui, PAN Yun-he",
journal="Journal of Zhejiang University Science A",
volume="3",
number="2",
pages="131-134",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0131"
}
%0 Journal Article
%T Probability output of multi-class support vector machines
%A XIN Dong
%A WU Zhao-hui
%A PAN Yun-he
%J Journal of Zhejiang University SCIENCE A
%V 3
%N 2
%P 131-134
%@ 1869-1951
%D 2002
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2002.0131
TY - JOUR
T1 - Probability output of multi-class support vector machines
A1 - XIN Dong
A1 - WU Zhao-hui
A1 - PAN Yun-he
J0 - Journal of Zhejiang University Science A
VL - 3
IS - 2
SP - 131
EP - 134
%@ 1869-1951
Y1 - 2002
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2002.0131
Abstract: A novel approach to interpret the outputs of multi-class support vector machines is proposed in this paper. Using the geometrical interpretation of the classifying heperplane and the distance of the pattern from the hyperplane, one can calculate the posterior probability in binary classification case. This paper focuses on the probability output in multi-class phase where both the one-against-one and one-against-rest strategies are considered. Experiment on the speaker verification showed that this method has high performance.
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