Generalization-Aware Structured Regression towards Balancing Bias and Variance.
Martin PavlovskiFang ZhouNino ArsovLjupco KocarevZoran ObradovicPublished in: IJCAI (2018)
Keyphrases
- low variance
- variance reduction
- bias variance decomposition
- regression model
- structured data
- model selection
- linear regression
- bias variance
- regression problems
- covariance matrix
- structured learning
- regression algorithm
- learning algorithm
- support vector regression
- inductive bias
- minimum variance
- regression methods
- real world
- classification and regression problems
- real valued functions
- case study
- face recognition
- genetic programming
- simple linear
- partial least squares
- trade off
- data sets
- real valued
- monte carlo
- active learning
- multi class