图 书 馆
多途径、多视角学习Multi-Way, Multi-View Learning |
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| 课程网址: | http://videolectures.net/nipsworkshops09_huopaniemi_mwmv/ |
| 主讲教师: | Ilkka Huopaniemi |
| 开课单位: | 阿尔托大学 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We extend multi-way, multivariate ANOVA-type analysis to cases where one covariate is the view, with features of each view coming from different, high- dimensional domains. The different views are assumed to be connected by having paired samples; this is common in our main application, biological experiments integrating data from different sources. Such experiments typically also include a controlled multi-way experimental setup where disease status, medical treatment groups, gender and time of the measurement are usual covariates. We introduce a multi-way latent variable model for this new task, by extending the generative model of Bayesian canonical correlation analysis (CCA) both to take multi-way covariate information into account as population priors, and by reducing the dimensionality by an integrated factor analysis that assumes the features to come in correlated groups. |
| 关 键 词: | 视图; 生物实验; 贝叶斯典型相关分析 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 44 |