Rank Decisions in Matrix Quotient Decompositions.
Michael StewartPublished in: SIAM J. Matrix Anal. Appl. (2016)
Keyphrases
- singular value decomposition
- singular values
- singular vectors
- decision making
- decision makers
- nuclear norm minimization
- machine intelligence
- linear algebra
- low rank approximation
- matrix decomposition
- decision process
- low rank
- data matrix
- support vector
- positive definite
- making decisions
- matrix representation
- feature extraction
- learning algorithm
- rank aggregation
- similarity measure
- frobenius norm
- information systems