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Publication search results
found 184 matches
- 2024
- Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs. J. Mach. Learn. Res. 25: 248:1-248:40 (2024) - Yang Chen, Ziyan Luo, Lingchen Kong:
Low-rank tensor regression for selection of grouped variables. J. Multivar. Anal. 203: 105339 (2024) - Wenqi Lu, Zhongyi Zhu, Rui Li, Heng Lian:
Statistical performance of quantile tensor regression with convex regularization. J. Multivar. Anal. 200: 105249 (2024) - Xiaobo Chen, Kaiyuan Wang, Feng Zhao, Fuwen Deng, Qiaolin Ye:
Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery. IEEE Trans. Comput. Soc. Syst. 11(5): 6882-6896 (2024) - Axel Faes, Flavio Camarrone, Marc M. Van Hulle:
Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8897-8908 (2024) - Airat Kotliar-Shapirov, Sergei Gostilovich, Anastasia Sozykina, Anh Huy Phan, Andrzej Cichocki:
Granger Connectivity Analysis as a Block-Term Tensor Regression for eSport Players. ICASSP 2024: 3290-3294 - Lv-Wei Zhang, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Chen-Feng Long:
Dual Linear Regression in Tensor Space for Hyperspectral Image Classification. IGARSS 2024: 9341-9344 - Zhen Qin, Zhihui Zhu:
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition. CoRR abs/2406.06002 (2024) - Yongxin Li:
An Efficient Approach to Regression Problems with Tensor Neural Networks. CoRR abs/2406.09694 (2024) - Zongchen Chen, Conor Sheehan, Ilias Zadik:
On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule. CoRR abs/2408.00746 (2024) - Hengrui Luo, Akira Horiguchi, Li Ma:
Efficient Decision Trees for Tensor Regressions. CoRR abs/2408.01926 (2024) - Clara Menzen, Manon Kok, Kim Batselier:
Tensor network square root Kalman filter for online Gaussian process regression. CoRR abs/2409.03276 (2024) - 2023
- Baofang Ke, Weihua Zhao, Lei Wang:
Smoothed tensor quantile regression estimation for longitudinal data. Comput. Stat. Data Anal. 178: 107609 (2023) - Jinwen Liang, Wolfgang Karl Härdle, Maozai Tian:
Imputed quantile tensor regression for near-sited spatial-temporal data. Comput. Stat. Data Anal. 182: 107713 (2023) - Lin Chen, Xin Luo:
Tensor Distribution Regression Based on the 3D Conventional Neural Networks. IEEE CAA J. Autom. Sinica 10(7): 1628-1630 (2023) - Sunan Li, Yuan Zong, Cheng Lu, Chuangan Tang, Yan Zhao:
Group Sparse Reduced Rank Tensor Regression for Micro-Expression Recognition. IEICE Trans. Inf. Syst. 106(4): 575-578 (2023) - Umesh Kizhakkinan, Pham Luu Trung Duong, Robert Laskowski, Guglielmo Vastola, David W. Rosen, Nagarajan Raghavan:
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression. J. Intell. Manuf. 34(1): 369-385 (2023) - Yang Chen, Ziyan Luo:
Group SLOPE Penalized Low-Rank Tensor Regression. J. Mach. Learn. Res. 24: 352:1-352:30 (2023) - Mai Ghannam, Sévérien Nkurunziza:
Tensor Stein-rules in a generalized tensor regression model. J. Multivar. Anal. 198: 105206 (2023) - Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. 35(8): 1404-1429 (2023) - Carlos Llosa-Vite, Ranjan Maitra:
Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2282-2296 (2023) - Lorena Gril, Philipp Wedenig, Chris Torkar, Ulrike Kleb:
A Tensor-based Regression Approach for Human Motion Prediction. Qual. Reliab. Eng. Int. 39(2): 481-499 (2023) - Zhe Cheng, Xiangjian Xu, Zihao Song, Weihua Zhao:
Randomized algorithms for tensor response regression. Stat. Anal. Data Min. 16(2): 149-161 (2023) - Xinpeng Wang, Bingo Wing-Kuen Ling, Huimin Zhao, Shaopeng Liu:
The Tensor Discriminant Ridge Regression Model With Extreme Learning Machine for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8102-8114 (2023) - Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong:
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics 65(4): 524-536 (2023) - Wentao Mao, Keying Liu, Yanna Zhang, Xihui Liang, Zhijian Wang:
Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Nonnegative Structured Kruskal Tensor Regression. CAMSAP 2023: 441-445 - Hong Qiu, Heng Jin, Renfang Wang, Xiufeng Liu, Guang Gao:
Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images. CSCWD 2023: 1037-1042 - Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens:
Tensorized LSSVMS For Multitask Regression. ICASSP 2023: 1-5 - Antônia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral, Andrew C. Parnell:
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials. CoRR abs/2301.03655 (2023)
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