Learning Record Mapping Operation
(Redirected from Feature Representation)
A Learning Record Mapping Operation is an Operation that maps a Data Record into a Learning Record.
- AKA: Feature Representation.
- See: Vectorized Learning Record.
References
2009
- (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
- … Consequently a good feature representation can encode this concept space and minimize the distribution gap.