图 书 馆
封闭形式的广义线性模型的监督降维Closed-form Supervised Dimensionality Reduction with Generalized Linear Models |
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| 课程网址: | http://videolectures.net/icml08_rish_cfsdr/ |
| 主讲教师: | Irina Rish |
| 开课单位: | 沃森研究中心 |
| 开课时间: | 2008-08-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a family of supervised dimensionality reduction (SDR) algorithms that combine feature extraction (dimensionality reduction) with learning a predictive model in a unified optimization framework, using data- and class-appropriate generalized linear models (GLMs), and handling both classification and regression problems. Our approach uses simple closed-form update rules and is provably convergent. Promising empirical results are demonstrated on a variety of high-dimensional datasets. |
| 关 键 词: | 线性模型; 监督降维; 广义线性模型; 处理分类和回归问题 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-23：liqy |
| 阅读次数: | 41 |