1283 search results - page 1 / 257 » Learning Voting Trees |
SIGKDD
2000
13 years 4 months ago
2000
The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
AAAI
2007
13 years 7 months ago
2007
Binary voting trees provide a succinct representation for a large and prominent class of voting rules. In this paper, we investigate the PAC-learnability of this class of rules. W...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
ICML
1999
IEEE
14 years 5 months ago
1999
IEEE
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
AAAI
1996
13 years 6 months ago
1996
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...