Results 91 to 100 of about 1,415,945 (160)

Sparse PCA from Sparse Linear Regression

open access: yes, 2018
To appear in NeurIPS ...
Bresler, Guy   +2 more
openaire   +2 more sources

Sparse matrices for weighted sparse recovery

open access: yes, 2016
We derived the first sparse recovery guarantees for weighted $\ell_1$ minimization with sparse random matrices and the class of weighted sparse signals, using a weighted versions of the null space property to derive these guarantees. These sparse matrices from expender graphs can be applied very fast and have other better computational complexities ...
openaire   +2 more sources

MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package

open access: yesJournal of Statistical Software, 2010
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
Jarrod Had
doaj  

Sparse autoregressive neural networks for classical spin systems

open access: yesMachine Learning: Science and Technology
Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics.
Indaco Biazzo, Dian Wu, Giuseppe Carleo
doaj   +1 more source

Sparse dimensionality reduction for analyzing single-cell-resolved interactions. [PDF]

open access: yesBioinform Adv
Brunn N   +4 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy