Results 91 to 100 of about 2,528 (182)

Randomized block Krylov method for approximation of truncated tensor SVD

Journal of the Franklin Institute
This paper is devoted to studying the application of the block Krylov subspace method for approximation of the truncated tensor SVD (T-SVD). The theoretical results of the proposed randomized approach are presented. Several experimental experiments using synthetics and real-world data are conducted to verify the efficiency and feasibility of the ...
Malihe Nobakht Kooshkghazi, Salman Ahmadi-Asl, André L.F. de Almeida   +2 more
openaire   +2 more sources

Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: A cross-sectional study

Heliyon
Cerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown ...
Lei Yu, Ming Yi, Jiayu Guo, Jinbiao Li, Huixing Zeng, Liqian Cui, Xiangming Xu, Gang Liu, Yuhua Fan, Jinsheng Zeng, Shihui Xing, Yicong Chen, Meng Wang, Shuangquan Tan, Leow Yi Jin, Dilip Kumar, Ashwati Vipin, Soo See Ann, Fatin Zahra Binte Zailan, Gurveen Kaur Sandhu, Nagaendran Kandiah, Chao Dang   +21 more
doaj   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

A mixed EIM-SVD tensor decomposition for bivariate functions

, 2017
In this paper we present a mixed EIM-SVD tensor decomposition for bivariate functions. This method is composed, as its name suggests, of two main steps. The first one, provides an approximate representation of a function $f$ in separate form by the use of a Tensor Empirical Interpolation Method (TEIM). The second phase consists in applying the Singular
De Vuyst, Florian, Toumi, Asma
openaire   +2 more sources

Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)

, 2016
Tensor decompositions have rich applications in statistics and machine learning, and developing efficient, accurate algorithms for the problem has received much attention recently. Here, we present a new method built on Kruskal's uniqueness theorem to decompose symmetric, nearly orthogonally decomposable tensors.
Miaoyan Wang, Yun S. Song
openaire   +3 more sources

Immune regulation and blood–brain barrier permeability in cerebral small vessel disease: study protocol of the INflammation and Small Vessel Disease (INSVD) study – a multicentre prospective cohort study

BMJ Open
Introduction The INflammation and Small Vessel Disease (INSVD) study aims to investigate whether peripheral inflammation, immune (dys)regulation and blood–brain barrier (BBB) permeability relate to disease progression in cerebral small vessel disease ...
Roy P C Kessels, Audrey Low, Hugh Markus, Anil Tuladhar, Frank‐Erik de Leeuw, Robin G Morris, Ziad Mallat, Niels P Riksen, Daniel J Tozer, Sanne van Winden, Lupei Cai, Marnix C Maas, Meritxell Nus, Anja van der Kolk, Rowan Wolters   +14 more
doaj   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Jacobi-type method for the SVD-like tensor decomposition

, 2021
For a general third-order tensor A we are looking for its SVD-like decomposition.
openaire   +2 more sources

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study. [PDF]

Proc Natl Acad Sci U S A
Zhu Z, Wang H, Li T, Huang TM, Yang H, Tao Z, Tan ZH, Zhou J, Chen S, Ye M, Zhang Z, Li F, Liu D, Wang M, Lu J, Zhang W, Li X, Chen Q, Jiang Z, Chen F, Zhang X, Lin WW, Yau ST, Zhang B.   +23 more
europepmc   +1 more source