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Two Applications of PDEs in Data Science.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Two Applications of PDEs in Data Science./
作者:
Cook, Brendan.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:
106 p.
附註:
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:
Dissertations Abstracts International84-01B.
標題:
Mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29165475
ISBN:
9798837535437
Two Applications of PDEs in Data Science.
Cook, Brendan.
Two Applications of PDEs in Data Science.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 106 p.
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Thesis (Ph.D.)--University of Minnesota, 2022.
This item must not be sold to any third party vendors.
In this thesis we explore two applications of partial differential equations to data science. In Part I we establish a convergence rate for the continuum limit of the nondominated sorting process. In Part II we show how the Poisson Equation can form the basis for "Poisson Learning," a new graph-based semi-supervised machine learning algorithm which excels at low label rates.
ISBN: 9798837535437Subjects--Topical Terms:
515831
Mathematics.
Subjects--Index Terms:
Partial differential equations
Two Applications of PDEs in Data Science.
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