Matrix Factorization with Side and Higher Order Information

Vatsal Shah
Vatsal Shah

arXiv: Machine Learning, Volume abs/1705.02047, 2017.

Cited by: 1|Bibtex|Views5|Links
EI

Abstract:

The problem of predicting unobserved entries of a partially observed matrix has found wide applicability in several areas, such as recommender systems, computational biology, and computer vision. Many scalable methods with rigorous theoretical guarantees have been developed for algorithms where the matrix is factored into low-rank compone...More

Code:

Data:

Your rating :
0

 

Tags
Comments