Opened 10 years ago
Closed 10 years ago
#2186 closed feature request (duplicate)
Boosting Meta-Algorithm
Reported by: | gkronber | Owned by: | gkronber |
---|---|---|---|
Priority: | medium | Milestone: | HeuristicLab 3.3.x Backlog |
Component: | Algorithms.DataAnalysis | Version: | 3.3.9 |
Keywords: | Cc: |
Description
AdaBoost with sampling instead of weighting could be implemented for classification problems.
Friedmans "Stochasic Gradient Boosting" (1999) could be implemented for regression and classification problems.
One important question is where the gradient for our target functions is implemented. In gradient boosting we need to use the correct gradient which is appropriate for the currently selected fitness function.
Change History (2)
comment:1 Changed 10 years ago by gkronber
- Summary changed from Boosting MetaAlgorithm to Boosting Meta-Algorithm
comment:2 Changed 10 years ago by gkronber
- Resolution set to duplicate
- Status changed from new to closed
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Duplicate of 1795