Search Results - sequential variational autoencoder*
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Authors: et al.
Contributors: et al.
Source: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Universidad Carlos III de Madrid (UC3M)Subject Terms: FOS: Computer and information sciences, Telecomunicaciones, Computer Science - Machine Learning, Databases, Factual, Missing data, Deep learning, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), 3. Good health, Statistics - Machine Learning, VAE, 0202 electrical engineering, electronic engineering, information engineering, Humans, Sequential data, Heterogeneous, Variational autoencoders, Biología y Biomedicina, 0105 earth and related environmental sciences
File Description: application/pdf
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Authors: et al.
Source: Computing in Cardiology Conference (CinC). 51
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Authors: et al.
Source: WSDM '19, pp. 600–608, Melbourne, 11-15/02/2019
info:cnr-pdr/source/autori:Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi/congresso_nome:WSDM '19/congresso_luogo:Melbourne/congresso_data:11-15%2F02%2F2019/anno:2019/pagina_da:600/pagina_a:608/intervallo_pagine:600–608Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Neural Networks, Recommender Systems, Variational Autoencoders, Machine Learning (stat.ML), 02 engineering and technology, Computer Science - Information Retrieval, Machine Learning (cs.LG), 68T05, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Time-series Analysis, Recurrent Networks, Sequence modeling, Information Retrieval (cs.IR)
File Description: application/pdf
Access URL: http://arxiv.org/pdf/1811.09975
http://arxiv.org/abs/1811.09975
https://dl.acm.org/citation.cfm?id=3291007
https://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-09975
http://arxiv.org/pdf/1811.09975.pdf
https://arxiv.org/pdf/1811.09975.pdf
https://dl.acm.org/doi/pdf/10.1145/3289600.3291007
https://hdl.handle.net/20.500.14243/364657
https://doi.org/10.1145/3289600.3291007
https://hdl.handle.net/11390/1248975
https://doi.org/10.1145/3289600.3291007 -
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Authors: WU Mei-lin, HUANG Jia-jin, QIN Jin
Source: Jisuanji kexue, Vol 49, Iss 12, Pp 163-169 (2022)
Subject Terms: variational autoencoder, deep learning, sequence modeling, disentangled learning, collaborative filtering, Computer software, QA76.75-76.765, Technology (General), T1-995
File Description: electronic resource
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Authors:
Source: Future Internet. Feb2025, Vol. 17 Issue 2, p95. 31p.
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Authors: et al.
Source: Applied Mathematical Modelling. 98:576-594
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Authors:
Source: Sensors, Vol 23, Iss 5, p 2515 (2023)
Subject Terms: adversarial training, auxiliary adversarial classifier, inductive biases, sequential variational autoencoder, video disentanglement, Chemical technology, TP1-1185
File Description: electronic resource
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Authors:
Source: Future Internet, Vol 17, Iss 2, p 95 (2025)
Subject Terms: synthetic data, Markov chain Monte Carlo, variational autoencoders, Information technology, T58.5-58.64
File Description: electronic resource
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Authors: et al.
Source: Proceedings of the Annual Conference of JSAI. 2021, :3
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Authors: et al.
Source: 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). :1742-1746
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Authors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783030445836
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences
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Authors: et al.
Source: Proceedings of the Annual Conference of JSAI. 2020, :4
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Authors: et al.
Source: ACM Transactions on Multimedia Computing, Communications, and Applications. 20:1-16
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Authors: et al.
Source: ACM Transactions on Multimedia Computing, Communications & Applications; Jan2024, Vol. 20 Issue 1, p1-16, 16p
Subject Terms: SEQUENTIAL learning, LEARNING, ENTROPY
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