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pro vyhledávání: '"Kim, Chang Ouk"'
Publikováno v:
In Expert Systems With Applications 1 January 2025 259
Autor:
Jang, Jaeyeon, Kim, Chang Ouk
If an unknown example that is not seen during training appears, most recognition systems usually produce overgeneralized results and determine that the example belongs to one of the known classes. To address this problem, teacher-explorer-student (T/
Externí odkaz:
http://arxiv.org/abs/2103.12871
Autor:
Jang, Jaeyeon, Kim, Chang Ouk
Unknown examples that are unseen during training often appear in real-world machine learning tasks, and an intelligent self-learning system should be able to distinguish between known and unknown examples. Accordingly, open set recognition (OSR), whi
Externí odkaz:
http://arxiv.org/abs/2103.10230
A sequential recommender system aims to recommend attractive items to users based on behaviour patterns. The predominant sequential recommendation models are based on natural language processing models, such as the gated recurrent unit, that embed it
Externí odkaz:
http://arxiv.org/abs/2102.07645
Publikováno v:
International Journal of Production Research; May2024, Vol. 62 Issue 9, p3305-3319, 15p
Autor:
Jang, Jaeyeon, Kim, Chang Ouk
Unknown examples that are unseen during training often appear in real-world computer vision tasks, and an intelligent self-learning system should be able to differentiate between known and unknown examples. Open set recognition, which addresses this
Externí odkaz:
http://arxiv.org/abs/2004.08067
Publikováno v:
In Expert Systems With Applications 15 August 2023 224
Autor:
Lee, Gyeong Taek, Kim, Chang Ouk
This paper proposes a new reinforcement learning (RL) algorithm that enhances exploration by amplifying the imitation effect (AIE). This algorithm consists of self-imitation learning and random network distillation algorithms. We argue that these two
Externí odkaz:
http://arxiv.org/abs/1901.05856
Publikováno v:
In Expert Systems With Applications 15 September 2022 202
Autor:
Jang, Jaeyeon, Kim, Chang Ouk
Publikováno v:
In Expert Systems With Applications February 2022 188