A survey of feature selection and feature generation for tabular data, categorizing traditional, RL-based, and generative AI methods into a unified taxonomy.
2011.ℓ2,1-norm regularized discriminative feature selection for unsupervised learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
A survey of feature selection and feature generation for tabular data, categorizing traditional, RL-based, and generative AI methods into a unified taxonomy.