图 书 馆
反学习Anti-Learning |
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| 课程网址: | http://videolectures.net/mlss06au_kowalczyk_al/ |
| 主讲教师: | Adam Kowalczyk |
| 开课单位: | 澳大利亚信息通信技术研究中心 |
| 开课时间: | 2007-04-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The Biological domain poses new challenges for statistical learning. In the talk we shall analyze and theoretically explain some counter-intuitive experimental and theoretical findings that systematic reversal of classifier decisions can occur when switching from training to independent test data (the phenomenon of anti-learning). We demonstrate this on both natural and synthetic data and show that it is distinct from overfitting. The natural datasets discussed will include: prediction of response to chemo-radio-therapy for esophageal cancer from gene expression (measured by cDNA-microarrays); prediction of genes affecting the aryl hydrocarbon receptor pathway in yeast. The main synthetic classification problem will be the approximation of samples drawn from high dimensional distributions, for which a theoretical explanation will be outlined. |
| 关 键 词: | 生物领域; 统计学习; 反学习; 基因表达; 基因微阵列; 高维分布 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-05-15：yumf |
| 阅读次数: | 74 |