Stochastic Tverberg Theorems With Applications in Multiclass Logistic Regression, Separability, and Centerpoints of Data

IF 2.6 Q1 MATHEMATICS, APPLIED SIAM journal on mathematics of data science Pub Date : 2020-12-10 DOI:10.1137/19m1277102
J. D. Loera, T. A. Hogan
{"title":"Stochastic Tverberg Theorems With Applications in Multiclass Logistic Regression, Separability, and Centerpoints of Data","authors":"J. D. Loera, T. A. Hogan","doi":"10.1137/19m1277102","DOIUrl":null,"url":null,"abstract":"We present new stochastic geometry theorems that give bounds on the probability that $m$ random data classes all contain a point in common in their convex hulls. These theorems relate to the existe...","PeriodicalId":74797,"journal":{"name":"SIAM journal on mathematics of data science","volume":"116 1","pages":"1151-1166"},"PeriodicalIF":2.6000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM journal on mathematics of data science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/19m1277102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 4

Abstract

We present new stochastic geometry theorems that give bounds on the probability that $m$ random data classes all contain a point in common in their convex hulls. These theorems relate to the existe...
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
随机Tverberg定理及其在多类逻辑回归、可分性和数据中心点中的应用
我们提出了新的随机几何定理,给出了$m$随机数据类在它们的凸包中都包含一个共同点的概率界。这些定理与存在…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Supervised Gromov-Wasserstein Optimal Transport with Metric-Preserving Constraints. Entropic Optimal Transport on Random Graphs A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks Adversarial Robustness of Sparse Local Lipschitz Predictors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1