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定向图形模型

Directed Graphical Models
课程网址: http://videolectures.net/aibootcamp2011_archambeau_cgm/  
主讲教师: Cedric Archambeau
开课单位: 伦敦大学学院
开课时间: 2011-03-31
课程语种: 英语
中文简介:
在本文中,我将介绍定向图形模型的基本概念。然后介绍了EM算法并讨论了隐变量模型中的学习问题,考虑了几种混合模型(离散隐变量)、概率PCA(连续隐变量)和扩展。接下来,我描述回归的条件模型,绘制到最小二乘和岭回归的链接。最后,介绍了高斯过程回归。
课程简介: In this talk I introduce the basic concepts of directed graphical models. I then introduce the EM algorithm and discuss learning in latent variable models, considering several mixture models (discrete latent variables), probabilistic PCA (continuous latent variables) and extensions. Next, I describe conditional models for regression, draw links to least squares and ridge regression. Finally, the talk is ended with an introduction to Gaussian process regression.
关 键 词: 向图形模型; 离散潜变量; 连续潜变量; 高斯过程
课程来源: 视频讲座网
最后编审: 2019-12-19:lxf
阅读次数: 48