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Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making Under Heavy-tailed Noisy Rewards : vimarsana.com
Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making Under Heavy-tailed Noisy Rewards
/PRNewswire/ -- In data science, researchers typically deal with data that contain noisy observations. An important problem explored by data scientists in this...
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Seoul
,
Soult Ukpyolsi
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South Korea
,
Kyungjae Lee
,
Chung Ang University
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Transactions On Neural Networks
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Assistant Professor Kyungjae Lee
,
Assistant Professor Sungbin Lim
,
Ulsan Institute
,
Neural Networks
,
Learning Systems
,
Minimax Optimal Bandits
,
Heavy Tail
,
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