Open AccessSuper-learning and ensemble weighted averaging models to predict hyperlocal long-term exposure to fine particulate matter components in the United States
Author(s) -
Heresh Amini,
Mahdieh Danesh Yazdi,
Qian Di,
Weeberb J. Réquia,
Yara Abu Awad,
Liuhua Shi,
Meredith Franklin,
Changsun Kang,
Jack M. Wolfson,
Peter James,
Rima Habre,
Seyed Mahmood Taghavi Shahri,
Zorana Jovanovic Andersen,
Itai Kloog,
Petros Koutrakis,
Joel Schwartz
Publication year - 2021
Publication title -
environmental health perspectives. supplements
Language(s) - English
Resource type - Journals
eISSN - 2169-2181
pISSN - 1078-0475
DOI - 10.1289/isee.2021.p-231
Subject(s) - particulates , kernel (algebra) , environmental science , support vector machine , test set , set (abstract data type) , statistics , cartography , computer science , meteorology , mathematics , artificial intelligence , geography , chemistry , organic chemistry , combinatorics , programming language