图 书 馆
结合逻辑和概率：语言，算法和应用Combining Logic and Probability: Languages, Algorithms and Applications |
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| 课程网址: | http://videolectures.net/uai2011_domingos_kersting_combining/ |
| 主讲教师: | Kristian Kersting, Pedro Domingos |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2011-08-24 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | AI problems are characterized by high degrees of complexity and uncertainty. Complexity is well handled by first-order logic, and uncertainty by probability. Combining the two in one language would be highly desirable, and the last decade has seen rapid progress in this direction. Many probabilistic logical languages have been proposed, and efficient inference and learning algorithms for them are available, often in open source software. Probabilistic logical techniques have been successfully applied to a wide variety of problems in natural language processing, vision, robotics, planning, social networks, the Web, and other areas. This tutorial begins with an overview of the key issues in this area and the solutions that have been proposed, from representation to learning and inference. As an example, we then focus on Markov logic, which attaches weights to first-order formulas and treats them as templates for features of log-linear models. We look in particular at the application of lifting techniques to probabilistic inference in relational domains, the combination of statistical learning with inductive logic programming (a.k.a. statistical relational learning), and the application of these techniques to machine reading. |
| 关 键 词: | 人工智能; 不确定性的概率; 源码软件 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-18：dingaq |
| 阅读次数: | 62 |