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借用强度、学习向量值函数与监督降维

Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction
课程网址: http://videolectures.net/nipsworkshops09_mukherjee_bslvvfsdr/  
主讲教师: Sayan Mukherjee
开课单位: 杜克大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
我们从学习向量值函数和多任务或分层建模的角度研究了有监督降维问题。提供了一种算法,并提供了经验结果。在演讲的第二部分中,从非参数贝叶斯视角重新审视了分层模型的监督维度减少的相同问题。
课程简介: We study the problem of supervised dimension reduction from the perspective of learning vector valued functions and multi-task or hierarchical modeling in ai regularization framework. An algorithm is speci ed and empirical results are provided. In the second part of the talk the same problem of supervised dimension reduction for a hierarchical model is revisted from a non-parametric Bayesian perspective.
关 键 词: 向量值函数; 有监督降维; 非参数贝叶斯
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 57