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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是421-430 订阅
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Collaborative Additional variational autoencoder for Top-N Recommender Systems
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IEEE ACCESS 2019年 7卷 5707-5713页
作者: He, Ming Meng, Qian Zhang, Shaozong Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China
Collaborative filtering (CF) has been generally used in recommender systems when faced some practical problems. Due to the sparsity of the rating matrix, the traditional CF-based approach has a significant decline in ... 详细信息
来源: 评论
Process monitoring using variational autoencoder for high-dimensional nonlinear processes
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2019年 83卷 13-27页
作者: Lee, Seulki Kwak, Mingu Tsui, Kwok-Leung Kim, Seoung Bum Korea Univ Sch Ind Management Engn 145 Anam Ro Seoul 02841 South Korea City Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong 999077 Peoples R China
In many industries, statistical process monitoring techniques play a key role in improving processes through variation reduction and defect prevention. Modern large-scale industrial processes require appropriate monit... 详细信息
来源: 评论
EEG-Based Adaptive Driver-Vehicle Interface Using variational autoencoder and PI-TSVM
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IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 2019年 第10期27卷 2025-2033页
作者: Bi, Luzheng Zhang, Jingwei Lian, Jinling Beijing Inst Technol Sch Mech Engn Beijing 100081 Peoples R China
Event-related potential (ERP)-based driver-vehicle interfaces (DVIs) have been developed to provide a communication channel for people with disabilities to drive a vehicle. However, they require a tedious and time-con... 详细信息
来源: 评论
Semi-supervised Aspect-level Sentiment Classification Model based on variational autoencoder
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KNOWLEDGE-BASED SYSTEMS 2019年 第May 1期171卷 81-92页
作者: Fu, Xianghua Wei, Yanzhi Xu, Fan Wang, Ting Lu, Yu Li, Jianqiang Huang, Joshua Zhexue Shenzhen Technol Univ Fac Arts & Sci Shenzhen Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China Shenzhen Technol Univ Coll Creat Design Shenzhen Peoples R China
Aspect-level sentiment classification aims to predict the sentiment of a text in different aspects and it is a fine-grained sentiment analysis task. Recent work exploits an Attention-based Long Short-Term Memory Netwo... 详细信息
来源: 评论
Speech Source Separation Using variational autoencoder and Bandpass Filter
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IEEE ACCESS 2020年 8卷 156219-156231页
作者: Do, Hao Duc Tran, Son Thai Chau, Duc Thanh Univ Sci Fac Informat Technol Ho Chi Minh City 70000 Vietnam Viet Nam Natl Univ Ho Chi Minh City 70000 Vietnam Univ Sci Off Educ & Training Ho Chi Minh City 70000 Vietnam OLLI Technol JSC AI Lab Ho Chi Minh City 70000 Vietnam
Speech source separation is essential for speech-related applications because this process enhances the input speech signal for the main processing model. Most of the current approaches for this task focus on separati... 详细信息
来源: 评论
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
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BMC BIOINFORMATICS 2020年 第1期21卷 64-64页
作者: Lin, Eugene Mukherjee, Sudipto Kannan, Sreeram Univ Washington Dept Elect & Comp Engn Seattle WA 98195 USA Univ Washington Dept Biostat Seattle WA 98195 USA China Med Univ Grad Inst Biomed Sci Taichung Taiwan
Background Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can assess the function of an individual cell and cell-to-cell variability at the single cell level in an unbiased manner. Dimensionalit... 详细信息
来源: 评论
Dirichlet variational autoencoder
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PATTERN RECOGNITION 2020年 107卷 107514-107514页
作者: Joo, Weonyoung Lee, Wonsung Park, Sungrae Moon, Il-Chul Korea Adv Inst Sci & Technol Dept Ind & Syst Engn Daejeon 34141 South Korea SK Telecom AI Technol Unit Seoul 04539 South Korea NAVER Corp Clova AI Res Gyeonggi Do 13561 South Korea
This paper proposes Dirichlet variational autoencoder (DirVAE) using a Dirichlet prior. To infer the parameters of DirVAE, we utilize the stochastic gradient method by approximating the inverse cumulative distribution... 详细信息
来源: 评论
A mutual information-based variational autoencoder for robust JIT soft sensing with abnormal observations
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2020年 204卷 104118-104118页
作者: Guo, Fan Huang, Biao Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 2G6 Canada
Considering industrial process with high-dimensional, intrinsic nonlinearities and possibly abnormal observations, a robust deep learning soft sensor model is developed under the just-in-time learning framework. As an... 详细信息
来源: 评论
Semi-deterministic and Contrastive variational Graph autoencoder for Recommendation  21
Semi-deterministic and Contrastive Variational Graph Autoenc...
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30th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Ding, Yue Shi, Yuxiang Chen, Bo Lin, Chenghua Lu, Hongtao Li, Jie Tang, Ruiming Wang, Dong Shanghai Jiao Tong Univ Shanghai Peoples R China Noahs Ark Lab Huawei Montreal PQ Canada Univ Sheffield Sheffield S Yorkshire England
variational autoencoder (VAE) is a popular deep generative framework with a solid theoretical basis. There are many research efforts on improving VAE. Among the existing works, a recently proposed deterministic Regula... 详细信息
来源: 评论
Unsupervised feature learning for online voltage stability evaluation and monitoring based on variational autoencoder
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ELECTRIC POWER SYSTEMS RESEARCH 2020年 第0期182卷 106253-000页
作者: Yang, Haosen Qiu, Robert C. Shi, Xin He, Xing Shanghai Jiao Tong Univ Res Ctr Big Data Engn Technol State Energy Smart Grid Resarch & Dev Ctr Dept Elect Engn Shanghai 200240 Peoples R China
With the increase of uncertain elements in power systems and extensive deployment of online monitoring devices, it is necessary to search a more real-time and robust voltage stability assessment method. This study, us... 详细信息
来源: 评论