Search Results - "KIM, Chayoung" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Discrete Space Deep Reinforcement Learning Algorithm Based on Support Vector Machine Recursive Feature Elimination

Discrete Space Deep Reinforcement Learning Algorithm Based on Support Vector Machine Recursive Feature Elimination

by Kim, Chayoung
Published in Symmetry (Basel) (01.08.2024)

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Journal Article

Target-Network Update Linked with Learning Rate Decay Based on Mutual Information and Reward in Deep Reinforcement Learning

Target-Network Update Linked with Learning Rate Decay Based on Mutual Information and Reward in Deep Reinforcement Learning

by Kim, Chayoung
Published in Symmetry (Basel) (01.10.2023)

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Journal Article

Deep Q-Learning Network with Bayesian-Based Supervised Expert Learning

Deep Q-Learning Network with Bayesian-Based Supervised Expert Learning

by Kim, Chayoung
Published in Symmetry (Basel) (01.10.2022)

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Journal Article

Deep Reinforcement Learning by Balancing Offline Monte Carlo and Online Temporal Difference Use Based on Environment Experiences

Deep Reinforcement Learning by Balancing Offline Monte Carlo and Online Temporal Difference Use Based on Environment Experiences

by Kim, Chayoung
Published in Symmetry (Basel) (01.10.2020)

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Journal Article

Temporal Consistency-Based Loss Function for Both Deep Q-Networks and Deep Deterministic Policy Gradients for Continuous Actions

Temporal Consistency-Based Loss Function for Both Deep Q-Networks and Deep Deterministic Policy Gradients for Continuous Actions

by Kim, Chayoung
Published in Symmetry (Basel) (01.12.2021)

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Journal Article

Unsupervised Learning for Anomaly Detection of Electric Motors

Unsupervised Learning for Anomaly Detection of Electric Motors

by Son, Jonghwan, Kim, Chayoung, Jeong, Minjoong
Published in International journal of precision engineering and manufacturing (01.04.2022)

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Journal Article

Enhanced and applicable algorithm for Big-Data by Combining Sparse Auto-Encoder and Load-Balancing, ProGReGA-KF

Enhanced and applicable algorithm for Big-Data by Combining Sparse Auto-Encoder and Load-Balancing, ProGReGA-KF

by Kim, Hyunah, Kim, Chayoung
Published in The International journal of advanced culture technology (2021)

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Journal Article

Exploration with Multiple Random ε-Buffers in Off-Policy Deep Reinforcement Learning

Exploration with Multiple Random ε-Buffers in Off-Policy Deep Reinforcement Learning

by Kim, Chayoung, Park, JiSu
Published in Symmetry (Basel) (01.11.2019)

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Journal Article

RNAseq 빅데이터에서 유전자 선택을 위한 밀집도-의존 정규화 기반의 서포트-벡터 머신 병합법

RNAseq 빅데이터에서 유전자 선택을 위한 밀집도-의존 정규화 기반의 서포트-벡터 머신 병합법

by 김차영, Kim, Chayoung
Published in Inteonet jeongbo hakoe nonmunji = Journal of Korean Society for Internet Information (2017)

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Journal Article

SVM-기반 제약 조건과 강화학습의 Q-learning을 이용한 변별력이 확실한 특징 패턴 선택

SVM-기반 제약 조건과 강화학습의 Q-learning을 이용한 변별력이 확실한 특징 패턴 선택

by 김차영, Chayoung Kim
Published in Inteonet jeongbo hakoe nonmunji = Journal of Korean Society for Internet Information (30.08.2019)

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Journal Article

오프 폴리시 강화학습에서 몬테 칼로와 시간차 학습의 균형을 사용한 적은 샘플 복잡도

오프 폴리시 강화학습에서 몬테 칼로와 시간차 학습의 균형을 사용한 적은 샘플 복잡도

by 김차영, Chayoung Kim, 박서희, Seohee Park, 이우식, Woosik Lee
Published in Inteonet jeongbo hakoe nonmunji = Journal of Korean Society for Internet Information (30.10.2020)

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Journal Article

Predicting Determinants of Lifelong Learning Intention Using Gradient Boosting Machine (GBM) with Grid Search

Predicting Determinants of Lifelong Learning Intention Using Gradient Boosting Machine (GBM) with Grid Search

by Kim, Chayoung, Park, Taejung
Published in Sustainability (01.05.2022)

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Journal Article

Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea

Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea

by Park, Taejung, Kim, Chayoung
Published in Sustainability (01.09.2020)

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Journal Article

최적화된 Gradient-Boost를 사용한 서울 자전거 데이터의 결정 요인 예측

최적화된 Gradient-Boost를 사용한 서울 자전거 데이터의 결정 요인 예측

by 김차영, 김윤, Kim, Chayoung, Kim, Yoon
Published in Journal of the convergence on culture technology : JCCT (30.11.2022)

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Journal Article

Designing online network intrusion detection using deep auto-encoder Q-learning

Designing online network intrusion detection using deep auto-encoder Q-learning

by Kim, Chayoung, Park, JiSu
Published in Computers & electrical engineering (01.10.2019)

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Journal Article

GENE MANIPULATION BASED ON NANOPARTICLE-CRISPR COMPLEX AND FABRICATION METHOD THEREFOR

GENE MANIPULATION BASED ON NANOPARTICLE-CRISPR COMPLEX AND FABRICATION METHOD THEREFOR

by JOO, Minju, LEE, Kangseok, YEOM, Jihyun, HYEON, Hana, JEONG, Jaecheol, KIM, Chayoung, RYU, Minkyung, BAE, Jeehyeon, SIM, Sehoon, PARK, Sungchul, JEONG, Yujeong
Year of Publication 23.11.2023

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Patent

The Relationship between Analytic Thinking and Detection of News Accuracy: Focusing on the Moderation Effect of Need for Cognitive Closure

The Relationship between Analytic Thinking and Detection of News Accuracy: Focusing on the Moderation Effect of Need for Cognitive Closure

by Kim, Chayoung, Park, Hyekyung
Published in JOURNAL OF THE KOREA CONTENTS ASSOCIATION (30.09.2023)

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Journal Article

Decentralized Multi-group Communication Protocol Supporting Causal Order

Decentralized Multi-group Communication Protocol Supporting Causal Order

by Chayoung Kim, Jinho Ahn
Published in 2010 Second International Conference on Communication Software and Networks (01.02.2010)

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Conference Proceeding

Scalable ultrapeer-based DHT protocol for file sharing

Scalable ultrapeer-based DHT protocol for file sharing

by Chayoung Kim, Jinho Ahn
Published in 2009 International Symposium on Collaborative Technologies and Systems (01.05.2009)

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Conference Proceeding

Novel Gossip-Based Multicast Protocol with No Global View Information

Novel Gossip-Based Multicast Protocol with No Global View Information

by Chayoung Kim, Jinho Ahn
Published in 2008 Second International Conference on Future Generation Communication and Networking (01.12.2008)

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Conference Proceeding