Results 131 to 140 of about 223,331 (198)

TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. [PDF]

Proc ACM Conf Health Inference Learn (2020), 2020
Afshar A, Perros I, Park H, deFilippi C, Yan X, Stewart W, Ho J, Sun J.   +7 more
europepmc   +1 more source

CTFacTomo: Reconstructing 3D spatial structures of RNA tomography transcriptomes by collapsed tensor factorization. [PDF]

PLoS Comput Biol
Song T, Nguyen Q, Broadbent C, Kuang R.
europepmc   +1 more source

Fast polypharmacy side effect prediction using tensor factorization. [PDF]

Bioinformatics
Lloyd O, Liu Y, Gaunt TR.
europepmc   +1 more source

Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome. [PDF]

Genome Biol, 2020
Schreiber J, Durham T, Bilmes J, Noble WS.   +3 more
europepmc   +1 more source

MiMeJF: Application of Coupled Matrix and Tensor Factorization (CMTF) for Enhanced Microbiome-Metabolome Multi-Omic Analysis. [PDF]

Metabolites
Ou Z, Fu X, Norbäck D, Lin R, Wen J, Sun Y.   +5 more
europepmc   +1 more source

Mining human periodic behaviors via tensor factorization and entropy. [PDF]

PeerJ Comput Sci
Yi F, Su L, He H, Xiao T.
europepmc   +1 more source

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. [PDF]

Proc ACM Int Conf Inf Knowl Manag, 2019
Ma J, Zhang Q, Lou J, Ho JC, Xiong L, Jiang X.   +5 more
europepmc   +1 more source

1Robust Bayesian Tensor Factorization for Incomplete Multiway Data

, 2016
—We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank tensor capturing the global information and a sparse tensor capturing the ...
Liqing Zhang, Guoxu Zhou, Andrzej Cichocki, Shun-ichi Amari, Qibin Zhao   +4 more
core  

Knowledge Completion for Generics using Guided Tensor Factorization

Transactions of the Association for Computational Linguistics, 2021
Hanie Sedghi, Ashish Sabharwal
doaj   +1 more source

Generalized tensor factorization

, 2020
This thesis proposes a unified probabilistic framework for modelling multiway data. Our approach establishes a novel link between probabilistic graphical models and tensor factorization, that allows us to design arbitrary factorization models utilizing major class of the cost functions while retaining simplicity.
openaire   +1 more source