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学习与预测的一项调查

Learning and Prediction - A Survey
课程网址: http://videolectures.net/mla09_pelckmans_lap/  
主讲教师: Kristiaan Pelckmans
开课单位: 乌普萨拉大学
开课时间: 2009-07-20
课程语种: 英语
中文简介:
本调查考虑了从数据中学习数学模型的方法设计。 当代机器学习工具箱由多种技术组成,基本上简化为一些正式的论证。 然后,本演示文稿的目的是深入了解其中的一些内容,并争论如何成功实施这些内容。 在这样做时,我们将触及主题,如基于风险的建模,概率推理,凸优化和基于内核的学习等。 我将举例说明两个应用领域,即(A)动态系统的识别,以及(B)可靠性数据的建模和预测。
课程简介: This survey considers the design of methods for learning mathematical models from data. The contemporary toolbox of machine learning consists of a wide set of techniques, essentially reducing to a few formal arguments. The aim of this presentation is then to give insight in some of them, and to argue how they could be implemented successfully. When doing so, we will touch topics as risk-based modeling, probabilistic inference, convex optimization and kernel-based learning amongst others. I will exemplify two application areas, namely (A) identification of dynamic systems, and (B) modeling and prediction of reliability data.
关 键 词: 数学模型; 机器学习工具箱; 动态系统
课程来源: 视频讲座网
最后编审: 2019-06-28:cjy
阅读次数: 26