A fast smoothing newton method for bilevel hyperparameter optimization for SVC with logistic loss

IF 1.6 3区数学 Q2 MATHEMATICS, APPLIED

Optimization Pub Date : 2024-08-30 DOI:10.1080/02331934.2024.2394612

Yixin Wang, Qingna Li

引用次数: 0

Abstract

Support vector classification (SVC) with logistic loss has excellent theoretical properties in classification problems where the label values are not continuous. In this paper, we reformulate the h...

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用于具有对数损失的 SVC 双级超参数优化的快速平滑牛顿法

在标签值不连续的分类问题中，带有逻辑损失的支持向量分类（SVC）具有出色的理论特性。在本文中，我们重新阐述了支持向量分类的逻辑损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optimization 数学-应用数学

CiteScore

4.50

自引率

9.10%

发文量

146

审稿时长

4.5 months

期刊介绍： Optimization publishes refereed, theoretical and applied papers on the latest developments in fields such as linear, nonlinear, stochastic, parametric, discrete and dynamic programming, control theory and game theory. A special section is devoted to review papers on theory and methods in interesting areas of mathematical programming and optimization techniques. The journal also publishes conference proceedings, book reviews and announcements. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.