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Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation. (arXiv:2205.12460v3 [stat.ME] UPDATED)
Sept. 23, 2022, 1:13 a.m. | Liyun Zeng, Hao Helen Zhang
stat.ML updates on arXiv.org arxiv.org
Multiclass probability estimation is the problem of estimating conditional
probabilities of a data point belonging to a class given its covariate
information. It has broad applications in statistical analysis and data
science. Recently a class of weighted Support Vector Machines (wSVMs) has been
developed to estimate class probabilities through ensemble learning for
$K$-class problems (Wu, Zhang and Liu, 2010; Wang, Zhang and Wu, 2019), where
$K$ is the number of classes. The estimators are robust and achieve high
accuracy for …
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