图 书 馆
高斯逻辑的预测分类Gaussian Logic for Predictive Classification |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_kuzelka_gaussian/ |
| 主讲教师: | Ondřej Kuželka |
| 开课单位: | 捷克理工大学 |
| 开课时间: | 2011-11-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We describe a statistical relational learning framework called Gaussian Logic capable to work efficiently with combinations of relational and numerical data. The framework assumes that, for a fixed relational structure, the numerical data can be modelled by a multivariate normal distribution. We demonstrate how the Gaussian Logic framework can be applied to predictive classification problems. In experiments, we first show an application of the framework for the prediction of DNAbinding propensity of proteins. Next, we show how the Gaussian Logic framework can be used to find motifs describing highly correlated gene groups in gene-expression data which are then used in a set-level-based classification method. |
| 关 键 词: | 机器学习; 分类; 监督学习; 高斯过程 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-11：dingaq |
| 阅读次数: | 64 |