Directions
더 정확한, 편리한, 안전한, 공평한, 설명 가능한 AI를 개발하기 위해 통계학, 해석학뿐만 아니라 계산 이론, 소프트웨어 공학, 프로그래밍 언어 등 전산 이론 기반이 필수적이다. 이와 동시에, AI 기술을 이용한 전산 이론 및 기술 개발도 활발히 진행되고 있다.
2023
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Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility
Lee, Hoil, Ayed, Fadhel, Jung, Paul, Lee, J, Hongseok Yang, Caron, Francois
JOURNAL OF MACHINE LEARNING RESEARCH
2023[]
2021
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A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs
Jung, Paul Heajoon, Lee, Jiho, Sam Staton, Hongseok Yang
Annales Henri Lebesgue
2021 -
이미지 분할과 관심 영역 맵 기반 색상 스키마 추출
김수지, 최성희
정보과학회논문지
2021 2019
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Bayesian Optimistic Kullback-Leibler Exploration
Kang Hoon Lee, Geonhyeong Kim, Ortega, Pedro, Lee, Daniel D., Kee-Eung Kim
MACHINE LEARNING
2019 2017
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Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)
Durrant, RJ, Kee-Eung Kim, Holmes, G, Marsland, S, Sugiyama, M, Zhou, ZH
Machine Learning
2017[]
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Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors
Jimin Hwa, Shin Yoo, Seo, Yeong-Seok, Doo-Hwan Bae
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2017[]
2015
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Hierarchical Bayesian Inverse Reinforcement Learning
Choi Jaedeug, Kee-Eung Kim
IEEE TRANSACTIONS ON CYBERNETICS
2015[] []
2012
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Exploiting symmetries for single- and multi-agent Partially Observable Stochastic Domains
Byung Kon Kang, Kee-Eung Kim
Artificial Intelligence
2012[] []
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Identifying Helpful Reviews Based on Customer’s Mentions about Experiences
Hye-Jin Min, Jong C. Park
EXPERT SYSTEMS WITH APPLICATIONS
2012[] []
