Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees
Author:
Affiliation:
1. University of California,Dept. of Computer Science and Engineering,Merced,CA,USA
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892743.pdf?arnumber=9892743
Reference45 articles.
1. Global refinement of random forest;ren;Proc of the 2015 IEEE Computer Society Conf CVPR'15,2015
2. Deep Neural Decision Forests
3. Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization
4. Improved Boosted Regression Forests Through Non-Greedy Tree Optimization
5. Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees
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