Results 81 to 90 of about 510,427 (158)

Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression. [PDF]

Comput Math Methods Med, 2020
Liu X, Wang J, Ren F, Kong J.
europepmc   +1 more source

Incomplete Cholesky Decomposition based Kernel Cross Modal Factor Analysis for Audiovisual Continuous Dimensional Emotion Recognition [PDF]

KSII Transactions on Internet and Information Systems, 2019
Xia Li, Guanming Lu, Jingjie Yan, Haibo Li 0001, Zhengyan Zhang, Ning Sun, Shipeng Xie   +6 more
openaire   +1 more source

Row Modifications of a Sparse Cholesky Factorization

, 2005
Given a sparse, symmetric positive definite matrix C and an associated sparse Cholesky factorization LDL , we develop sparse techniques for updating the factorization after a symmetric modification of a row and column of C.
Timothy A. Davis, William W. Hager, William   +2 more
core  

A deep learning representation and spatial Bayesian cell-type deconvolution for spatial transcriptomics. [PDF]

PeerJ
Yang X, Feng Y, Zhao Y, Li H, Chen X.
europepmc   +1 more source

Estimating variance components in population scale family trees. [PDF]

PLoS Genet, 2019
Shor T, Kalka I, Geiger D, Erlich Y, Weissbrod O.   +4 more
europepmc   +1 more source

Positive no-touch surfaces and undetectable SARS-CoV-2 aerosols in long-term care facilities: An attempt to understand the contributing factors and the importance of timing in air sampling campaigns. [PDF]

Am J Infect Control, 2021
Dumont-Leblond N, Veillette M, Bhérer L, Boissoneault K, Mubareka S, Yip L, Dubuis ME, Longtin Y, Jouvet P, McGeer A, Duchaine C.   +10 more
europepmc   +1 more source

Parallel Sparse Cholesky Factorization

, 1988
As sequential computers seem to be approaching their limits in CPU speed there is increasing interest in parallel computers. This development calls for parallel algorithms for problems that may already have efficient sequential algorithms. The problem
Hafsteinsson, Hjalmtyr
core  

Perspective on Many-Body Methods for Molecular Polaritonic Systems. [PDF]

J Chem Theory Comput
Bauman N, Cunha LA, DePrince AE, Flick J, Foley JJ, Govind N, Groenhof G, Hoffmann N, Kowalski K, Li X, Liebenthal M, Maitra NT, Manderna R, Matoušek M, Mazin IM, Mejia-Rodriguez D, Panyala A, Peng B, Peyton B, Veis L, Vu N, Weidman JD, Wilson AK, Zarotiadis RA, Zhang Y.   +24 more
europepmc   +1 more source

Sparse Modified Cholesky Factorization on the AP1000

, 2007
Modified Cholesky factorization is an algorithm widely used for solving nonlinear optimization problems, in which this procedure is one of the most costly operations to compute.
Vicente Blanco, Maria J. Martin, Francisco F. Rivera   +2 more
core  

Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations. [PDF]

BMC Bioinformatics
Yang T, Li WV.
europepmc   +1 more source