Difference between revisions of "Bagging"
From Cohen Courses
Jump to navigationJump to searchPastStudents (talk | contribs) |
PastStudents (talk | contribs) |
||
| Line 15: | Line 15: | ||
== References / Links == | == References / Links == | ||
| − | * ... | + | * [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.121.7654&rep=rep1&type=pdf Leo Brieman. '''Bagging Predictors'''. Machine Learning, 24, 123–140 (1996).] |
| + | * [http://en.wikipedia.org/wiki/Bootstrap_aggregating Wikipedia article on bagging]. | ||
== Relevant Papers == | == Relevant Papers == | ||
Revision as of 17:41, 30 November 2010
Contents
Summary
Bagging (a.k.a bootstrap aggregating) is an ensemble machine learning method for classification and regression.
Method
...
Challenges / Issues
Some major challenges ...
Example Systems
- ...
References / Links
- Leo Brieman. Bagging Predictors. Machine Learning, 24, 123–140 (1996).
- Wikipedia article on bagging.
