Bellman Error Based Feature Generation using Random Projections on Sparse Spaces.
Mahdi Milani FardYuri GrinbergAmir-massoud FarahmandJoelle PineauDoina PrecupPublished in: NIPS (2013)
Keyphrases
- random projections
- feature generation
- compressive sensing
- sparse representation
- text categorization
- inductive learning
- dimensionality reduction
- dimension reduction
- statistical approaches
- image reconstruction
- random sampling
- word sense disambiguation
- principal component analysis
- low dimensional
- information extraction
- original data
- high dimensional
- feature selection
- generation method
- feature representations
- hash functions
- document clustering
- inductive logic programming
- machine learning
- search engine
- active learning
- high dimensionality
- image processing
- knowledge base
- sample size
- least squares