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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是591-600 订阅
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Conservative Policy Construction Using variational autoencoders for Logged Data With Missing Values
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023年 第9期34卷 6368-6378页
作者: Abroshan, Mahed Yip, Kai Hou Tekin, Cem van der Schaar, Mihaela Alan Turing Inst London NW1 2DB England UCL London WC1E 6BT England Bilkent Univ Dept Elect & Elect Engn TR-06800 Ankara Turkey Univ Cambridge Dept Appl Math & Theoret Phys Cambridge CB2 1TN England Univ Calif Los Angeles Los Angeles CA 90095 USA
In high-stakes applications of data-driven decision-making such as healthcare, it is of paramount importance to learn a policy that maximizes the reward while avoiding potentially dangerous actions when there is uncer... 详细信息
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Mitigating the Impact of Temperature Variations on Ultrasonic Guided Wave-Based Structural Health Monitoring through variational autoencoders
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SENSORS 2024年 第5期24卷 1494页
作者: Junges, Rafael Lomazzi, Luca Miele, Lorenzo Giglio, Marco Cadini, Francesco Politecn Milan Dept Mech Engn Via Masa n1 I-20156 Milan Italy
Structural health monitoring (SHM) has become paramount for developing cheaper and more reliable maintenance policies. The advantages coming from adopting such process have turned out to be particularly evident when d... 详细信息
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Using Shapley Values and variational autoencoders to Explain Predictive Models with Dependent Mixed Features
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JOURNAL OF MACHINE LEARNING RESEARCH 2022年 第1期23卷 1-51页
作者: Olsen, Lars Henry Berge Glad, Ingrid Kristine Jullum, Martin Aas, Kjersti Univ Oslo Dept Math Moltke Moes vei 35Niels Henrik Abels hus N-0851 Oslo Norway Norwegian Comp Ctr Gaustadalleen 23aKristen Nygaards hus N-0373 Oslo Norway
Shapley values are today extensively used as a model-agnostic explanation framework to explain complex predictive machine learning models. Shapley values have desirable theoret-ical properties and a sound mathematical... 详细信息
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Recurrent variational autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2018年 第6期12卷 1615-1627页
作者: Wang, Yu Dai, Bin Hua, Gang Aston, John Wipf, David Univ Cambridge Dept Pure Math & Stat Cambridge CB2 1TN England Tsinghua Univ Beijing 100084 Peoples R China Microsoft Res Redmond WA 98052 USA
This paper explores two useful modifications of the recent variational autoencoder (VAE), a popular deep generative modeling framework that dresses traditional autoencoders with probabilistic attire. The first involve... 详细信息
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A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method
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JOURNAL OF THE FRANKLIN INSTITUTE 2022年 第2期359卷 1667-1691页
作者: Tang, Peng Peng, Kaixiang Jiao, Ruihua Univ Sci & Technol Beijing Sch Automat & Elect Engn Key Lab Knowledge Automat Ind Proc Minist Educ Beijing 100083 Peoples R China Peng Cheng Lab Dept Math & Theories 2 Xingke 1st St Nanshan Shenzhen Peoples R China AVIC Xian Aviat Brake Technol Co Ltd Xian 710065 Peoples R China
Nonlinear characteristic widely exists in industrial processes. Many approaches based on kernel methods and machine learning have been developed for nonlinear process monitoring. However, the fault isolation for nonli... 详细信息
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Leveraging variational autoencoders for Parameterized MMSE Estimation
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2024年 72卷 3731-3744页
作者: Baur, Michael Fesl, Benedikt Utschick, Wolfgang Tech Univ Munich TUM Sch Computat Informat & Technol D-80333 Munich Germany
In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoencoder models the underlying unknown d... 详细信息
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Φ-DVAE: Physics-informed dynamical variational autoencoders for unstructured data assimilation
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JOURNAL OF COMPUTATIONAL PHYSICS 2024年 515卷
作者: Glyn-Davies, Alex Duffin, Connor Akyildiz, O. Deniz Girolami, Mark Univ Cambridge Dept Engn Trumpington St Cambridge CB2 1PZ England Imperial Coll London Dept Math Exhibit Rd London SW7 2AZ England Alan Turing Inst British Lib 96 Euston Rd London NW1 2DB England
Incorporating unstructured data into physical models is a challenging problem that is emerging in data assimilation. Traditional approaches focus on well-defined observation operators whose functional forms are typica... 详细信息
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Multi-Objective Design of DNA-Stabilized Nanoclusters Using variational autoencoders With Automatic Feature Extraction
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ACS NANO 2024年 第39期18卷 26997-27008页
作者: Sadeghi, Elham Mastracco, Peter Gonzalez-Rosell, Anna Copp, Stacy M. Bogdanov, Petko Univ Albany SUNY Dept Comp Sci Albany NY 12222 USA Univ Calif Irvine Dept Mat Sci & Engn Irvine CA 92697 USA Univ Calif Irvine Dept Chem Dept Chem & Biomol Engn Irvine CA 92697 USA Univ Calif Irvine Dept Phys & Astron Irvine CA 92697 USA
DNA-stabilized silver nanoclusters (Ag-N-DNAs) have sequence-tuned compositions and fluorescence colors. High-throughput experiments together with supervised machine learning models have recently enabled design of DNA... 详细信息
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Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised variational autoencoders
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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2022年 第12期26卷 6024-6035页
作者: Kmetzsch, Virgilio Becker, Emmanuelle Saracino, Dario Rinaldi, Daisy Camuzat, Agnes Le Ber, Isabelle Colliot, Olivier Sorbonne Univ Paris Brain Inst ICM AP HPCNRSInriaInsermInst Cerveau F-75013 Paris France Univ Rennes Inria CNRS IRISA F-35000 Rennes France Sorbonne Univ Paris Brain Inst ICM AP HPInst CerveauCNRSInserm F-75013 Paris France Sorbonne Univ Paris Brain Inst Hop Pitie Salpetriere AP HPInst Memory & Alzheimers Dis IM2AInst Cerv F-75013 Paris France
Frontotemporal dementia and amyotrophic lateral sclerosis are rare neurodegenerative diseases with no effective treatment. The development of biomarkers allowing an accurate assessment of disease progression is crucia... 详细信息
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Convolutional variational autoencoders and Resampling Techniques with Generative Adversarial Network for Enhancing Internet of Thing Security
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PATTERN RECOGNITION AND IMAGE ANALYSIS 2024年 第3期34卷 562-569页
作者: Dong, Huiyao Kotenko, I. V. Russian Acad Sci St Petersburg Fed Res Ctr St Petersburg 199178 Russia
The Internet of Things is a pivotal constituent of the contemporary technological revolution and has experienced expeditious expansion in recent times. The proliferation of Internet of Things devices has led to enhanc... 详细信息
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