On Speed of Stochastic CART Model Search
Decision trees have proved to be commonly used nonlinear tools for supervised learning. This technique is a way to divide the space of the predictor variables into bricks in order to achieve as homogeneous partitions as possible. We improved the CART method proposed by Breiman et al. (1984) using a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Austrian Statistical Society
2016-04-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/318 |