Zobrazeno 1 - 4
of 4
pro vyhledávání: '"William Herlands"'
Publikováno v:
ACM Transactions on Management Information Systems. 9:1-14
Researchers from across the social and computer sciences are increasingly using machine learning to study and address global development challenges. This article examines the burgeoning field of machine learning for the developing world (ML4D). First
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5af9d3d9abb755774b92074508b3ef
https://doi.org/10.1145/3210548
https://doi.org/10.1145/3210548
Publikováno v:
KDD
Inferring causal relationships in observational data is crucial for understanding scientific and social processes. We develop the first statistical machine learning approach for automatically discovering regression discontinuity designs (RDDs), a qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cfe2d9dce2ae74ae01fd60b9a34d2cd
https://doi.org/10.1145/3219819.3219982
https://doi.org/10.1145/3219819.3219982
Autor:
William Herlands, Daniel B. Neill
We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan enables early detection of emerging patterns in spatio-temporal data, accounting for bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f69ac977a94e9cbb50d56559d0277ea
http://arxiv.org/abs/1710.02458
http://arxiv.org/abs/1710.02458
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 28
Recent literature has demonstrated the difficulty of classifying between composers who write in extremely similar styles (homogeneous style). Additionally, machine learning studies in this field have been exclusively of technical import with little m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4caa3bc49df33234fd3674fb2ae97b2
https://doi.org/10.1609/aaai.v28i1.8738
https://doi.org/10.1609/aaai.v28i1.8738