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Publication search results
found 1,057 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) - 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) - 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) - 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) - 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) - 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) - Dong Hwi Jeong, Jong Min Lee:
Ensemble learning based latent variable model predictive control for batch trajectory tracking under concept drift. Comput. Chem. Eng. 139: 106875 (2020) - Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong:
Dynamic latent variable regression for inferential sensor modeling and monitoring. Comput. Chem. Eng. 137: 106809 (2020) - Saeed Ghorbani
, Calden Wloka, Ali Etemad
, Marcus A. Brubaker
, Nikolaus F. Troje
:
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. Comput. Graph. Forum 39(8): 225-239 (2020) - Ming Ouyang, Xin-Yuan Song:
Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data. J. Classif. 37(2): 298-316 (2020) - Jin-Chuan Duan, Andras Fulop, Yu-Wei Hsieh
:
Data-cloning SMC2: A global optimizer for maximum likelihood estimation of latent variable models. Comput. Stat. Data Anal. 143 (2020) - Xiaoqing Wang, Xiangnan Feng, Xinyuan Song
:
Joint analysis of semicontinuous data with latent variables. Comput. Stat. Data Anal. 151: 107005 (2020) - Hao-Tong Ye, Kai-Lin Lo, Shang-Yu Su, Yun-Nung Chen:
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model. Comput. Speech Lang. 63: 101069 (2020) - Fatemeh Hosseini
, Omid Karimi
:
Approximate likelihood inference in spatial generalized linear mixed models with closed skew normal latent variables. Commun. Stat. Simul. Comput. 49(1): 121-134 (2020)
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