Combining Bias and Variance Reduction Techniques for Regression Trees.
Yuk Lai SuenPrem MelvilleRaymond J. MooneyPublished in: ECML (2005)
Keyphrases
- variance reduction
- regression trees
- monte carlo
- bias variance decomposition
- sample size
- random forests
- regression model
- linear model
- importance sampling
- regression problems
- decision trees
- linear regression
- conditional random fields
- confidence intervals
- markov random field
- random forest
- random sampling
- kalman filter
- model selection
- naive bayes classifier
- least squares
- prior knowledge
- pairwise