• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,068 matches

• 2021
• 
  Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, Bens Pardamean:
  Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua. IEEE Access 9: 1972-1986 (2021)
• 
  Shangfang Li:
  A Gaussian Process Latent Variable Model for Subspace Clustering. Complex. 2021: 8864981:1-8864981:7 (2021)
• 
  Hao Xiong, Yuan Yan Tang, Fionn Murtagh, Leszek Rutkowski, Shlomo Berkovsky:
  A diversified shared latent variable model for efficient image characteristics extraction and modelling. Neurocomputing 421: 244-259 (2021)
• 
  Zemin Zheng, Jinchi Lv, Wei Lin:
  Nonsparse Learning with Latent Variables. Oper. Res. 69(1): 346-359 (2021)
• 
  Eunji Kim, Dongseon Lee, Youngchun Kwon, Min Sik Park, Youn-Suk Choi:
  Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables. J. Chem. Inf. Model. 61(1): 123-133 (2021)
• 
  Zhao Tang Luo, Huiyan Sang, Bani K. Mallick:
  A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. J. Mach. Learn. Res. 22: 37:1-37:52 (2021)
• 
  Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian:
  Harmonized Multimodal Learning with Gaussian Process Latent Variable Models. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 858-872 (2021)
• 
  Jinxing Li, Guangming Lu, Bob Zhang, Jane You, David Zhang:
  Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification. IEEE Trans. Cybern. 51(2): 534-547 (2021)
• 
  Peyman Azimpour, Tahereh Bahraini, Hadi Sadoghi Yazdi:
  Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework. IEEE Trans. Geosci. Remote. Sens. 59(4): 3266-3276 (2021)
• 
  Bingbing Shen, Zhiqiang Ge:
  Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application. IEEE Trans. Ind. Informatics 17(5): 3090-3098 (2021)
• 
  Boris Hayete, Fred Gruber, Anna Decker, Raymond Yan:
  Identification of Latent Variables From Graphical Model Residuals. CoRR abs/2101.02332 (2021)
• 
  Zixu Wang, Yishu Miao, Lucia Specia:
  Latent Variable Models for Visual Question Answering. CoRR abs/2101.06399 (2021)
• 
  Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt:
  Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. CoRR abs/2101.07046 (2021)
• 
  Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
  RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding. CoRR abs/2101.10070 (2021)
• 
  Rui Chen, Sanjeeb Dash, Tian Gao:
  Integer Programming for Causal Structure Learning in the Presence of Latent Variables. CoRR abs/2102.03129 (2021)
• 
  Nicholas Oune, Ramin Bostanabad:
  Latent Map Gaussian Processes for Mixed Variable Metamodeling. CoRR abs/2102.03935 (2021)
• 
  Sara Mohammad Taheri, Robert Osazuwa Ness, Jeremy Zucker, Olga Vitek:
  Do-calculus enables causal reasoning with latent variable models. CoRR abs/2102.06626 (2021)
• 
  Severi Rissanen, Pekka Marttinen:
  A Critical Look At The Identifiability of Causal Effects with Deep Latent Variable Models. CoRR abs/2102.06648 (2021)
• 
  Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré:
  Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR abs/2103.02761 (2021)
• 
  Hidekazu Yoshioka, Tomomi Tanaka, Futoshi Aranishi, Motoh Tsujimura, Yumi Yoshioka:
  Impulsive fishery resource transporting strategies based on an open-ended stochastic growth model having a latent variable. CoRR abs/2103.07032 (2021)
• 
  Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal:
  Latent Variable Nested Set Transformers & AutoBots. CoRR abs/2104.00563 (2021)
• 2020
• 
  Dinghan Shen:
  Deep Latent-Variable Models for Natural Language Understanding and Generation. Duke University, Durham, NC, USA, 2020
• 
  Fabricio Alves de Almeida, Simone Carneiro Streitenberger, Alexandre F. Torres, Anderson Paulo de Paiva, José Henrique de Freitas Gomes:
  A Gage Study Through the Weighting of Latent Variables Under Orthogonal Rotation. IEEE Access 8: 183557-183570 (2020)
• 
  Yun Jing, Wanglin Xu, Siye Guo, Yingjin Zhang:
  Analysis of Choice Behaviors of Railway Shippers for Freight Services Based on a Fuzzy Integrated Choice and Latent Variable Model. IEEE Access 8: 64399-64410 (2020)
• 
  Shaowen Lu, Shuyu Huang:
  Segmentation of Multivariate Industrial Time Series Data Based on Dynamic Latent Variable Predictability. IEEE Access 8: 112092-112103 (2020)
• 
  Aghila Rajagopal, A. Ramachandran, K. Shankar, Manju Khari, Sudan Jha, Yongju Lee, Gyanendra Prasad Joshi:
  Fine-Tuned Residual Network-Based Features With Latent Variable Support Vector Machine-Based Optimal Scene Classification Model for Unmanned Aerial Vehicles. IEEE Access 8: 118396-118404 (2020)
• 
  Wei Wu, Biao Yang, Dong Wang, Weigong Zhang:
  A Novel Trajectory Generator Based on a Constrained GAN and a Latent Variables Predictor. IEEE Access 8: 212529-212540 (2020)
• 
  Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu:
  Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. Annu. Rev. Control. 50: 29-48 (2020)
• 
  Hongbin Liu, Chong Yang, Mingzhi Huang, ChangKyoo Yoo:
  Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine. Appl. Soft Comput. 90: 106149 (2020)
• 
  Afrah Shafquat, Ronald G. Crystal, Jason G. Mezey:
  Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes. BMC Bioinform. 21(1): 178 (2020)

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