논문 리뷰
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Are Transformers Effective for Time Series Forecasting? Ailing Zeng1*, Muxi Chen1*, Lei Zhang2 , Qiang Xu1 1The Chinese University of Hong Kong 2 International Digital Economy Academy (IDEA) 논문링크: https://arxiv.org/pdf/2205.13504.pdf 장기 시퀀스 시계열 예측에서 과연 트랜스포머(Transformer)가 효과적인가? NLP(Natural Language Processing)와 CV(Computer Vision) 분야 등 여러 task에서 트랜스포머 모델은 성능 향상에 있어서 효과적이었지만, 이를 시계열 데이터를 모델링 하는데..
[논문 리뷰] Are Transformers Effective for Time Series Forecasting?Are Transformers Effective for Time Series Forecasting? Ailing Zeng1*, Muxi Chen1*, Lei Zhang2 , Qiang Xu1 1The Chinese University of Hong Kong 2 International Digital Economy Academy (IDEA) 논문링크: https://arxiv.org/pdf/2205.13504.pdf 장기 시퀀스 시계열 예측에서 과연 트랜스포머(Transformer)가 효과적인가? NLP(Natural Language Processing)와 CV(Computer Vision) 분야 등 여러 task에서 트랜스포머 모델은 성능 향상에 있어서 효과적이었지만, 이를 시계열 데이터를 모델링 하는데..
2023.06.12 -
Intelligent Data Analysis 26 (2022) 723–750 723 DOI 10.3233/IDA-215819 IOS Press Stock market network based on bi-dimensional histogram and autoencoder Sungyoon Choia , Dongkyu Gwaka , Jae Wook Songb and Woojin Changa,c,d,∗ aDepartment of Industrial Engineering, Seoul National University, Seoul, Korea bDepartment of Industrial Engineering, Hanyang University, Seoul, Korea c Institute for Industr..
[논문 리뷰] Stock market network based on bi-dimensional histogram and autoencoderIntelligent Data Analysis 26 (2022) 723–750 723 DOI 10.3233/IDA-215819 IOS Press Stock market network based on bi-dimensional histogram and autoencoder Sungyoon Choia , Dongkyu Gwaka , Jae Wook Songb and Woojin Changa,c,d,∗ aDepartment of Industrial Engineering, Seoul National University, Seoul, Korea bDepartment of Industrial Engineering, Hanyang University, Seoul, Korea c Institute for Industr..
2023.03.03