Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification.
Audi PrimadhantyXavier CarrerasAriadna QuattoniPublished in: ACL (1) (2015)
Keyphrases
- low rank
- rank minimization
- named entities
- feature space
- kernel matrix
- kernel matrices
- group sparsity
- trace norm
- low rank matrix
- missing data
- low rank matrices
- structured sparsity
- matrix completion
- training samples
- linear combination
- kernel methods
- high dimensional
- feature vectors
- matrix factorization
- sparse coding
- convex optimization
- robust principal component analysis
- minimization problems
- unsupervised learning
- co occurrence
- information extraction
- pattern recognition
- text mining
- semi supervised
- high order
- training set
- singular value decomposition
- decision trees
- feature selection
- machine learning
- high dimensional data
- natural language processing
- reproducing kernel hilbert space
- active learning
- feature extraction
- text classification
- image classification
- dimensionality reduction
- regularized regression
- elastic net
- model selection
- support vector
- information retrieval