Using histograms to introduce randomization in the generation of ensembles of decision trees
Patent
·
OSTI ID:1175253
A system for decision tree ensembles that includes a module to read the data, a module to create a histogram, a module to evaluate a potential split according to some criterion using the histogram, a module to select a split point randomly in an interval around the best split, a module to split the data, and a module to combine multiple decision trees in ensembles. The decision tree method includes the steps of reading the data; creating a histogram; evaluating a potential split according to some criterion using the histogram, selecting a split point randomly in an interval around the best split, splitting the data, and combining multiple decision trees in ensembles.
- Research Organization:
- The Regents of the Univ. of California, Oakland, CA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- Assignee:
- The Regents of the University of California (Oakland, CA)
- Patent Number(s):
- 6,859,804
- Application Number:
- 10/167,844
- OSTI ID:
- 1175253
- Country of Publication:
- United States
- Language:
- English
Approximate Splitting for Ensembles of Trees using Histograms
|
conference | December 2013 |
Popular Ensemble Methods: An Empirical Study
|
journal | July 1999 |
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