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检索条件"主题词=variational autoencoder"
1554 条 记 录,以下是1331-1340 订阅
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Bayesian Multi-Temporal-Difference Learning
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APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING 2022年 第1期11卷
作者: Chien, Jen-Tzung Chiu, Yi-Chung Natl Yang Ming Chiao Tung Univ Inst Elect & Comp Engn Hsinchu Taiwan
This paper presents a new sequential learning via a planning strategy where the future samples are predicted by reflecting the past experiences. Such a strategy is appealing to implement an intelligent machine which f... 详细信息
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Direct feature extraction from two-dimensional X-ray diffraction images of semiconductor thin films for fabrication analysis
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SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS-METHODS 2022年 第1期2卷 23-37页
作者: Yamashita, Akihiro Nagata, Takahiro Yagyu, Shinjiro Asahi, Toru Chikyow, Toyohiro Waseda Univ Dept Adv Sci & Engn Tokyo Japan Natl Inst Mat Sci Res & Serv Div Mat Data & Integrated Syst Tsukuba Japan Natl Inst Mat Sci Res Ctr Funct Mat 1-1 Namiki Tsukuba 3050044 Japan
We built a workflow for the fabrication analysis of thin films by applying machine-learning (ML) techniques directly to the measurement data. This will lower the problem in cost of synthesizing and analyzing samples t... 详细信息
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Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2020年 第8期26卷 2560-2575页
作者: Jiang, Boyi Zhang, Juyong Cai, Jianfei Zheng, Jianmin Univ Sci & Technol China Sch Math Sci Hefei 230052 Anhui Peoples R China Monash Univ Fac IT Clayton Vic 3800 Australia Nanyang Technol Univ Sch Engn & Comp Sci Singapore 639798 Singapore
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space. This article presents an autoencoder... 详细信息
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Towards safe reinforcement-learning in industrial grid-warehousing
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INFORMATION SCIENCES 2020年 537卷 467-484页
作者: Andersen, Per-Arne Goodwin, Morten Granmo, Ole-Christoffer Univ Agder Dept ICT Jon Lilletuns Vei 9 N-4879 Grimstad Norway
Reinforcement learning has shown to be profoundly successful at learning optimal policies for simulated environments using distributed training with extensive compute capacity. Model-free reinforcement learning uses t... 详细信息
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Scalable image generation and super resolution using generative adversarial networks
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GA...
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JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY 2020年 第2期35卷 953-966页
作者: Turhan, Ceren Guzel Bilge, Hasan Sakir Gazi Univ Comp Engn Dept TR-06570 Ankara Turkey Gazi Univ Elect Elect Engn Dept TR-06570 Ankara Turkey
Generative adversarial training has been one of the most active research topics and many researchers have conducted their studies on Generative Adversarial Network (GAN) shortly after it is claimed to be one of the mo... 详细信息
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Enhancing Long Term Fairness in Recommendations with variational autoencoders  19
Enhancing Long Term Fairness in Recommendations with Variati...
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Proceedings of the 11th International Conference on Management of Digital EcoSystems
作者: Rodrigo Borges Kostas Stefanidis University of São Paulo & Tampere University São Paulo Brazil Tampere University Tampere Finland
Recommender systems have become indispensable for several Web sites, helping users deal with big amounts of data. They are capable of analyzing user/item interactions taking place on-line, and provide each user with a... 详细信息
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Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study
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JMIR MEDICAL INFORMATICS 2022年 第8期10卷 e38440页
作者: Joe, Byunggill Park, Yonghyeon Hamm, Jihun Shin, Insik Lee, Jiyeon Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea Elect & Telecommun Res Inst Daejeon South Korea Tulane Univ Dept Comp Sci New Orleans LA 70118 USA Soongsil Univ Sch AI Convergence Seoul South Korea
Background: A backdoor attack controls the output of a machine learning model in 2 stages. First, the attacker poisons the training data set, introducing a back door into the victim's trained model. Second, during... 详细信息
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History matching of petroleum reservoirs using deep neural networks
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INTELLIGENT SYSTEMS WITH APPLICATIONS 2022年 16卷
作者: Alguliyev, Rasim Aliguliyev, Ramiz Imamverdiyev, Yadigar Sukhostat, Lyudmila Azerbaijan Natl Acad Sci Inst Informat Technol 9A B Vahabzade St Baku AZ1141 Azerbaijan
This paper proposes a novel approach based on deep learning to improve oil reservoirs' history matching problem. Deep autoencoders are widely used to solve the oil industry problems. However, as the input data inc... 详细信息
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Deep Learning to Generate in Silico Chemical Property Libraries and Candidate Molecules for Small Molecule Identification in Complex Samples
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ANALYTICAL CHEMISTRY 2020年 第2期92卷 1720-1729页
作者: Colby, Sean M. Nunez, Jamie R. Hodas, Nathan O. Corley, Courtney D. Renslow, Ryan R. Pacific Northwest Natl Lab Richland WA 99352 USA
Comprehensive and unambiguous identification of small molecules in complex samples will revolutionize our understanding of the role of metabolites in biological systems. Existing and emerging technologies have enabled... 详细信息
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On the Road With 16 Neurons: Towards Interpretable and Manipulable Latent Representations for Visual Predictions in Driving Scenarios
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IEEE ACCESS 2020年 8卷 179716-179734页
作者: Plebe, Alice Lio, Mauro Da Univ Trento Dept Informat Engn & Comp Sci I-38123 Trento Italy Univ Trento Dept Ind Engn I-38123 Trento Italy
This paper proposes a strategy for visual perception in the context of autonomous driving. Humans, when not distracted or drunk, are still the best drivers you can currently find. For this reason, we take inspiration ... 详细信息
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