Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정기석 | - |
dc.date.accessioned | 2022-06-03T01:48:13Z | - |
dc.date.available | 2022-06-03T01:48:13Z | - |
dc.date.issued | 2020-10 | - |
dc.identifier.citation | 2020 IEEE Conference on Games (CoG), page. 622-625 | en_US |
dc.identifier.isbn | 978-1-7281-4533-4 | - |
dc.identifier.issn | 2325-4270 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9231878?arnumber=9231878&SID=EBSCO:edseee | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/171270 | - |
dc.description.abstract | In this paper, we propose a confidence-calibration method for predicting the winner of a famous multiplayer online battle arena (MOBA) game, League of Legends. In MOBA games, the dataset may contain a large amount of input-dependent noise; not all of such noise is observable. Hence, it is desirable to attempt a confidence-calibrated prediction. Unfortunately, most existing confidence calibration methods are pertaining to image and document classification tasks where consideration on uncertainty is not crucial. In this paper, we propose a novel calibration method that takes data uncertainty into consideration. The proposed method achieves an outstanding expected calibration error (ECE) (0.57%) mainly owing to data uncertainty consideration, compared to a conventional temperature scaling method of which ECE value is 1.11%. | en_US |
dc.description.sponsorship | This paper was supported by Korea Institute for Advancement of Technology(KIAT) grant funded by the Korea Government(MOTIE)(N0001883, The Competency Development Program for Industry Specialist) | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Esports | en_US |
dc.subject | MOBA game | en_US |
dc.subject | League of Legends | en_US |
dc.subject | Winning Probability | en_US |
dc.subject | Confidence-Calibration | en_US |
dc.title | A Confidence-Calibrated MOBA Game Winner Predictor | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/CoG47356.2020.9231878 | - |
dc.relation.page | 622-625 | - |
dc.contributor.googleauthor | Kim, Dong-Hee | - |
dc.contributor.googleauthor | Lee, Changwoo | - |
dc.contributor.googleauthor | Chung, Ki-Seok | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | kchung | - |
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