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稀疏网格法

The Sparse Grid Method
课程网址: http://videolectures.net/mlss06au_garcke_sgm/  
主讲教师: Jochen Garcke
开课单位: 柏林大学
开课时间: 2007-04-25
课程语种: 英语
中文简介:
稀疏网格法是一种特殊的离散化技术,可以在一定程度上解决维数性的弊端。它基于层次结构和稀疏张量积分解。稀疏网格在过去已经成功地用于求解偏微分方程,而最近,在学习问题上也显示出了竞争力。本课程将全面介绍稀疏网格的主要特性,并介绍稀疏网格组合分类和回归技术。
课程简介: The sparse grid method is a special discretization technique, which allows to cope with the curse of dimensionality to some extent. It is based on a hierarchical basis and a sparse tensor product decompositon. Sparse grids have been successfully used to solve partial differential equations in the past and, more recently, have been shown to be competitive for learning problems as well. The lecture will provide a general introduction to the major properties of sparse grids and present the sparse grid combination technique for classification and regression.
关 键 词: 稀疏网格方法; 离散化技术; 偏微分方程; 分类和回归
课程来源: 视频讲座网
入库时间: 2016-07-05
最后编审: 2020-06-06:zyk
阅读次数: 263