Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events — Alexander Gruen (2023) | RDL Network
Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events
Article 2023 en
Authors
AG
Alexander Gruen
KM
Karl Mattingly
EM
Ellen Morwitch
Abstract
1 min read
This work was supported by an AusIndustry R and D tax incentive program from the Department of Industry, Science, Energy and Resources, Australia, to SlowVoice Pty Ltd. (IR 2101990) and Fellowship (GNT 1110200) and Investigator grant (GNT 1197234) to A-L Ponsonby by the National Health and Medical Research Council of Australia.
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