Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Han Yuefeng"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2175-2184 (2023)
Based on the background of high quality development of manufacturing enterprises, this article analyzes the significant impact of digital economy on manufacturing industry, and explores the construction of digital maturity evaluation system in line w
Externí odkaz:
https://doaj.org/article/8f42e1fb0f2e4083ba17a0180b78b61c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2167-2174 (2023)
In the context of the new dual-cycle development model, the Long Triangle, as the main development pillar of China's economic development, aims to enhance the quality development level of the digitization and industrialization, and achieve the deep d
Externí odkaz:
https://doaj.org/article/e78b459fc66e456db74f2141d6f2e18c
Multi-dimensional time series data, such as matrix and tensor-variate time series, are increasingly prevalent in fields such as economics, finance, and climate science. Traditional Transformer models, though adept with sequential data, do not effecti
Externí odkaz:
http://arxiv.org/abs/2410.20439
Tensor classification is gaining importance across fields, yet handling partially observed data remains challenging. In this paper, we introduce a novel approach to tensor classification with incomplete data, framed within high-dimensional tensor lin
Externí odkaz:
http://arxiv.org/abs/2410.14783
Tensor classification has become increasingly crucial in statistics and machine learning, with applications spanning neuroimaging, computer vision, and recommendation systems. However, the high dimensionality of tensors presents significant challenge
Externí odkaz:
http://arxiv.org/abs/2409.14397
Matrix time series, which consist of matrix-valued data observed over time, are prevalent in various fields such as economics, finance, and engineering. Such matrix time series data are often observed in high dimensions. Matrix factor models are empl
Externí odkaz:
http://arxiv.org/abs/2407.05624
Autor:
Wang Xiaolin, Chen Deshang, Han Guoying, Wang Xiaomin, Liu Xuebao, Xu Binbin, Liu Weiwei, Li Hui, Zhang Mingjie, Ma Shiyin, Han Yuefeng
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 68-61 (2023)
Most of advanced hypopharyngeal squamous cell carcinoma (HSCC) are resistant to chemotherapy, and there is still lack of effective treatment for HSCC now. The present study aimed to investigate whether downregulation of RNA-binding motif protein 17 (
Externí odkaz:
https://doaj.org/article/527d684ea1f04ad18d292327b0a55c41
High-dimensional tensor-valued data have recently gained attention from researchers in economics and finance. We consider the estimation and inference of high-dimensional tensor factor models, where each dimension of the tensor diverges. Our focus is
Externí odkaz:
http://arxiv.org/abs/2406.17278
This paper studies the prediction task of tensor-on-tensor regression in which both covariates and responses are multi-dimensional arrays (a.k.a., tensors) across time with arbitrary tensor order and data dimension. Existing methods either focused on
Externí odkaz:
http://arxiv.org/abs/2405.19610
Observations in various applications are frequently represented as a time series of multidimensional arrays, called tensor time series, preserving the inherent multidimensional structure. In this paper, we present a factor model approach, in a form s
Externí odkaz:
http://arxiv.org/abs/2110.15517