Zobrazeno 1 - 10
of 503
pro vyhledávání: '"Li Weiling"'
Autor:
Li Weiling
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and melody application of pop singing in musical theater singing. Then, the gray GM(1,1) model is
Externí odkaz:
https://doaj.org/article/475e35ec41324489bb1f0ca5e5541d59
Interactions among large number of entities is naturally high-dimensional and incomplete (HDI) in many big data related tasks. Behavioral characteristics of users are hidden in these interactions, hence, effective representation of the HDI data is a
Externí odkaz:
http://arxiv.org/abs/2402.11948
High-Dimensional and Incomplete (HDI) data is commonly encountered in big data-related applications like social network services systems, which are concerning the limited interactions among numerous nodes. Knowledge acquisition from HDI data is a vit
Externí odkaz:
http://arxiv.org/abs/2309.10618
An Undirected Weighted Network (UWN) is frequently encountered in a big-data-related application concerning the complex interactions among numerous nodes, e.g., a protein interaction network from a bioinformatics application. A Symmetric High-Dimensi
Externí odkaz:
http://arxiv.org/abs/2306.03911
An Undirected Weighted Network (UWN) is commonly found in big data-related applications. Note that such a network's information connected with its nodes, and edges can be expressed as a Symmetric, High-Dimensional and Incomplete (SHDI) matrix. Howeve
Externí odkaz:
http://arxiv.org/abs/2306.03647
Occupational pneumoconiosis (OP) staging is a vital task concerning the lung healthy of a subject. The staging result of a patient is depended on the staging standard and his chest X-ray. It is essentially an image classification task. However, the d
Externí odkaz:
http://arxiv.org/abs/2208.06607
Latent Factor (LF) models are effective in representing high-dimension and sparse (HiDS) data via low-rank matrices approximation. Hessian-free (HF) optimization is an efficient method to utilizing second-order information of an LF model's objective
Externí odkaz:
http://arxiv.org/abs/2208.06125
Large-scale undirected weighted networks are usually found in big data-related research fields. It can naturally be quantified as a symmetric high-dimensional and incomplete (SHDI) matrix for implementing big data analysis tasks. A symmetric non-nega
Externí odkaz:
http://arxiv.org/abs/2208.04811
Publikováno v:
In Neurocomputing 28 November 2024 607
Autor:
Li, Weiling, Wang, Yuansong, Peng, Qian, Shi, Yingying, Wan, Pin, Yao, Yulin, Bai, Tao, Ma, Yanling, Shu, Xiji, Liu, Yuchen, Sun, Binlian
Publikováno v:
In Molecular Immunology November 2024 175:1-9