Low-Rank Approximation of Matrices for PMI-based Word Embeddings.
Alena SorokinaAidana KaripbayevaZhenisbek AssylbekovPublished in: CoRR (2019)
Keyphrases
- low rank approximation
- latent semantic indexing
- singular value decomposition
- low rank matrix approximation
- vector space
- subspace learning
- low rank
- spectral clustering
- dimensionality reduction
- iterative algorithms
- kernel matrix
- co occurrence
- data dependent
- low rank matrices
- manifold learning
- low dimensional
- high dimensional data
- matrix completion
- adjacency matrix
- nonnegative matrix factorization
- principal component analysis
- linear combination
- feature selection
- singular values
- text retrieval
- reconstruction error
- eigendecomposition
- vector space model
- convex optimization
- semi supervised
- matrix factorization