Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.
Ming-Ming GaoZhen CuiYing-Lian GaoFeng LiJin-Xing LiuPublished in: ICIC (3) (2019)
Keyphrases
- factorization method
- kernel function
- kernel matrices
- high dimensional
- singular value decomposition
- polynomial kernels
- support vector
- matrix factorization
- gaussian kernels
- structure from motion
- kernel methods
- positive semi definite
- feature space
- measurement matrix
- positive definite
- kernel matrix
- support vector machine
- negative matrix factorization
- reproducing kernel hilbert space
- positive semidefinite
- dot product
- multiple kernel learning
- kernel learning
- multibody
- sparse representation
- low rank matrix
- primal dual
- machine learning
- low rank
- maximum likelihood
- low dimensional
- feature set
- principal component analysis
- feature selection