Results 171 to 180 of about 3,678,430 (211)

NCMCMDA: miRNA-disease association prediction through neighborhood constraint matrix completion

Briefings Bioinform., 2020
Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse fundamental and important biological processes associated with human diseases. Inferring potential disease related miRNAs and employing them as the biomarkers or drug targets
Xing Chen, Liang Sun, Yan Zhao
semanticscholar   +1 more source

Low Cost Sparse Network Monitoring Based on Block Matrix Completion

IEEE Conference on Computer Communications, 2021
Due to high network measurement cost, network-wide monitoring faces many challenges. For a network consisting of n nodes, the cost of one time network-wide monitoring will be O(n2).
Kun Xie, Jiazheng Tian, Gaogang Xie, Guangxing Zhang, Dafang Zhang   +4 more
semanticscholar   +1 more source

An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean

IEEE Internet of Things Journal, 2020
The oceans cover more than 71% of the Earth’s surface and have a surging amount of data. It is of great significance to seek energy-effective and ultrareliable communication and transmission mechanism for effectively gathering abundant maritime data.
Ming-feng Huang, Kuan Zhang, Z. Zeng, Tian Wang, Yuxin Liu   +4 more
semanticscholar   +1 more source

Robust Matrix Completion With Column Outliers

IEEE Transactions on Cybernetics, 2021
Matrix completion, in essence, involves recovering a low-rank matrix from a subset of its entries. Most existing methods for matrix completion neglect two significant issues. First, in several practical applications, such as collaborative filtering, some
F. Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li   +4 more
semanticscholar   +1 more source

Graph Convolutional Matrix Completion via Relation Reconstruction

International Conference on Software and Computer Applications, 2021
To alleviate sparsity and improve recommender systems performance, it is necessary to go beyond modeling user-item interactions and take auxiliary information into account.
Chang Su, Min Chen, Xianzhong Xie
semanticscholar   +1 more source

Active Matrix Completion

2013 IEEE 13th International Conference on Data Mining, 2013
Recovering a matrix from a sampling of its entries is a problem of rapidly growing interest and has been studied under the name of matrix completion. It occurs in many areas of engineering and applied science. In most machine learning and data mining applications, it is possible to leverage the expertise of human oracles to improve the performance of ...
Shayok Chakraborty, Jiayu Zhou, Vineeth Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye   +5 more
openaire   +1 more source

Distributed Matrix Completion

2012 IEEE 12th International Conference on Data Mining, 2012
We discuss parallel and distributed algorithms for large-scale matrix completion on problems with millions of rows, millions of columns, and billions of revealed entries. We focus on in-memory algorithms that run on a small cluster of commodity nodes, even very large problems can be handled effectively in such a setup.
Teflioudi, C., Makari, F., Gemulla, R.
openaire   +2 more sources

Matrix Completion Problems

2000
In the matrix completion problem we are given a partial symmetric real matrix A with certain elements specified or fixed and the rest are unspecified or free; and, we are asked whether A can be completed to satisfy a given property (P) by assigning certain values to its free elements.
Abdo Alfakih, Henry Wolkowicz
openaire   +1 more source

A review on matrix completion for recommender systems

Knowledge and Information Systems, 2022
Zhaoliang Chen, Shiping Wang
semanticscholar   +1 more source

GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field

Briefings Bioinform., 2021
Yongxian Fan, Meijun Chen, Xiaoyong Pan
semanticscholar   +1 more source