图 书 馆
高阶正则化的半监督学习The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling, incl. discussion by Frank Wood |
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| 课程网址: | http://videolectures.net/aistats2011_paisley_discrete/ |
| 主讲教师: | John Paisley, Frank Wood |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2011-05-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present the discrete infinite logistic normal distribution (DILN, “Dylan”), a Bayesian nonparametric prior for mixed membership models. DILN is a generalization of the hierarchical Dirichlet process (HDP) that models correlation structure between the weights of the atoms at the group level. We derive a representation of DILN as a normalized collection of gamma-distributed random variables, and study its statistical properties. We consider applications to topic modeling and derive a variational Bayes algorithm for approximate posterior inference. We study the empirical performance of the DILN topic model on four corpora, comparing performance with the HDP and the correlated topic model. |
| 关 键 词: | 离散无限逻辑; 随机变量; 贝叶斯算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-30：lxf |
| 阅读次数: | 39 |