Results 121 to 130 of about 223,331 (198)

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. [PDF]

Soc Netw Anal Min, 2021
Balasubramaniam T, Nayak R, Luong K, Bashar MA, Bashar MA.   +4 more
europepmc   +1 more source

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization [PDF]

The clustering method based on the anchor graph has gained significant attention due to its exceptional clustering performance and ability to process large-scale data.
Deng, Cheng, Gao, Quanxue, Li, Jing, Wang, Rui   +3 more
core  

Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain [PDF]

, 2016
We propose a novel tensor factorization approach, Feedback-Driven Tensor Factorization (FDTF), for modeling student learning process and predicting student performance.
Sahebi, S, Lin, Yu-Ru, Lin, YR, Brusilovsky, Peter, Sahebi, Shaghayegh, Brusilovsky, P   +5 more
core  

Implicit Regularization in Deep Tensor Factorization

, 2021
International audienceAttempts of studying implicit regularization associated to gradient descent (GD) have identified matrix completion as a suitable test-bed.
Kadri, Hachem, Milanesi, Paolo, Artières, Thierry, Ayache, Stéphane   +3 more
core  

An RMSprop-Incorporated Latent Factorization of Tensor Model for Random Missing Data Imputation in Structural Health Monitoring

Algorithms
In structural health monitoring (SHM), ensuring data completeness is critical for enhancing the accuracy and reliability of structural condition assessments.
Jingjing Yang
doaj   +1 more source

Early soft and flexible fusion of electroencephalography and functional magnetic resonance imaging via double coupled matrix tensor factorization for multisubject group analysis. [PDF]

Hum Brain Mapp, 2022
Chatzichristos C, Kofidis E, Van Paesschen W, De Lathauwer L, Theodoridis S, Van Huffel S.   +5 more
europepmc   +1 more source

Robust tensor factorization with unknown noise

, 2016
Because of the limitations of matrix factorization, such as losing spatial structure information, the concept of tensor factorization has been applied for the recovery of a low dimensional subspace from high dimensional visual data.
Meng DY(孟德宇), Han Z(韩志), Zhao, Qian, Wang Y(王尧), Chen XA(陈希爱), Tang YD(唐延东)   +5 more
core  

Speeding up tensor based recommenders with clustered tag space and improving quality of recommendations with Non-negative tensor factorization [PDF]

, 2011
Social tagging facilitates users to annotate and categorizeitems (Web links, pictures, movies, etc.).Assigned tags express the user preferences. Socialtagging systems (STS) have become popular hencevarious tag based recommenders have been developed.The ...
Žemaitis, Valdas, Leginus, Martin
core  

Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs. [PDF]

Sci Rep, 2020
Paliwal S, de Giorgio A, Neil D, Michel JB, Lacoste AM.   +4 more
europepmc   +1 more source