图 书 馆
概率数据库中的参数学习：最小二乘法Parameter Learning in Probabilistic Databases: A Least Squares Approach |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_gutmann_plip/ |
| 主讲教师: | Bernd Gutmann, Kristian Kersting, Luc De Raedt, Angelika Kimmig |
| 开课单位: | 弗莱堡大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We introduce the problem of learning the parameters of the probabilistic database ProbLog. Given the observed success probabilities of a set of queries, we compute the probabilities attached to facts that have a low approximation error on the training examples as well as on unseen examples. Assuming Gaussian error terms on the observed success probabilities, this naturally leads to a least squares optimization problem. Our approach, called LeProbLog, is able to learn both from queries and from proofs and even from both simultaneously. This makes it flexible and allows faster training in domains where the proofs are available. Experiments on real world data show the usefulness and effectiveness of this least squares calibration of probabilistic databases. |
| 关 键 词: | 计算机科学; 机器学习; 统计学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-06：lxf |
| 阅读次数: | 28 |