图 书 馆
将袋装和随机子空间相结合，创造出更好的合奏效果Combining Bagging and Random Subspaces to Create Better Ensembles |
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| 课程网址: | http://videolectures.net/ida07_panov_cbars/ |
| 主讲教师: | Panče Panov |
| 开课单位: | 约瑟夫·斯特凡学院 |
| 开课时间: | 2007-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in bagging) and randomizing the algorithm for learning base-level classifiers (decision trees). The base-level algorithm randomly selects a subset of the features at each step of tree construction and chooses the best among these. We propose to use a combination of concepts used in bagging and random subspaces to achieve a similar effect. The latter randomly select a subset of the features at the start and use a deterministic version of the base-level algorithm (and is thus somewhat similar to the randomized version of the algorithm). The results of our experiments show that the proposed approach has a comparable performance to that of random forests, with the added advantage of being applicable to any base-level algorithm without the need to randomize the latter. |
| 关 键 词: | 随机森林; 决策树; 基础级算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-25：csy |
| 阅读次数: | 47 |