Results 31 to 40 of about 1,630,238 (295)

A multi-attention deep neural network model base on embedding and matrix factorization for recommendation

International Journal of Cognitive Computing in Engineering, 2020
Matrix factorization is a popular method in recommendation system. However, the quality of recommendation algorithm based on matrix decomposition is greatly affected by the sparsity of rating data.
Jing Wang, Lei Liu
doaj   +1 more source

Scalable non-negative matrix tri-factorization

BioData Mining, 2017
Background Matrix factorization is a well established pattern discovery tool that has seen numerous applications in biomedical data analytics, such as gene expression co-clustering, patient stratification, and gene-disease association mining.
Andrej Čopar, Marinka žitnik, Blaž Zupan   +2 more
doaj   +1 more source

A survey on deep matrix factorizations [PDF]

Computer Science Review, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Handschutter, Pierre, Gillis, Nicolas, Siebert, Xavier   +2 more
openaire   +3 more sources

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxiciology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Mudaliar, Manikhandan A. V., Miele, Geno, Higham, Desmond J., Crowther, Daniel, Lee, Clare M., Vass, J. Keith, Haggart, D.R., Wolf, C. Roland   +7 more
core   +2 more sources

Directional clustering through matrix factorization [PDF]

, 2016
This paper deals with a clustering problem where feature vectors are clustered depending on the angle between feature vectors, that is, feature vectors are grouped together if they point roughly in the same direction.
Blumensath, Thomas
core   +1 more source

Randomized nonnegative matrix factorization [PDF]

Pattern Recognition Letters, 2018
This is an extended and revised version of the paper which appeared in ...
N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz   +3 more
openaire   +3 more sources

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Clare M. Lee, Vass J. Keith, D R Haggart, Lee Clare M., Mudaliar, MAV, Higham, Desmond, Vass, D.J., Manikhandan A V Mudaliar, Gino Miele, Mudaliar, Manikhandan A.V., Haggart, D. R., Mudaliar, M.A.V., Higham, Desmond J., Haggart D. R., Crowther, Daniel, D. R. Haggart, Lee, C.M., Lee, Clare M., Mudaliar Manikhandan A. V., J Keith Vass, Higham Desmond J., Wolf, C.R., Higham, D.J., Wolf C. Roland, Miele Gino, Mudaliar, Manikhandan A. V., Miele, Geno, Desmond J Higham, Clare M Lee, C. Roland Wolf, Miele, G., Manikhandan A. V. Mudaliar, C Roland Wolf, Crowther Daniel, Vass, J.K., Miele, Gino, J. Keith Vass, Crowther, D., Crowther, Daniel; id_orcid, Daniel Crowther, Vass, J. Keith, Desmond J. Higham, Haggart, D.R., Wolf, C. Roland, Lee, Clare   +44 more
core   +1 more source

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering

International Journal of Computational Intelligence Systems, 2020
Conventional nonnegative matrix factorization and its variants cannot separate the noise data space into a clean space and learn an effective low-dimensional subspace from Salt and Pepper noise or Contiguous Occlusion.
Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong   +3 more
doaj   +1 more source

Graph regularized non-negative matrix factorization with $$L_{2,1}$$ L 2 , 1 norm regularization terms for drug–target interactions prediction

BMC Bioinformatics, 2023
Background Identifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are costly and time consuming. Effective computational methods to predict DTIs are useful to speed up the process of
Junjun Zhang, Minzhu Xie
doaj   +1 more source

Spherical Matrix Factorization

CoRR, 2021
12 pages, 6 figures.
openaire   +2 more sources