articleJournal of Machine Learning ResearchAug 1, 2010Closed access

Spectral Regularization Algorithms for Learning Large Incomplete Matrices

Abstract

We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we provide a simple ...

Citation impact

695
total citations
FWCI
12.01
Percentile
100%
References
0
Citations per year

Authors

3

Topics & keywords

Keywords
  • Regularization (linguistics)
  • Algorithm
  • Computer science
  • Artificial intelligence
  • Machine learning
  • Mathematics
No related works found for this paper.