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大脑的学习模式：功能磁共振成像分析的机器学习挑战Learning Patterns of the Brain: Machine Learning Challenges of fMRI Analysis |
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| 课程网址: | http://videolectures.net/cmulls08_palatucci_lpb/ |
| 主讲教师: | Mark Palatucci |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2008-10-21 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Functional Magnetic Resonance Imaging (fMRI) has given neuroscientists and cognitive psychologists incredible power to analyze the deep mysteries of the human brain. With this powerful imaging technology, however, many new challenges have arisen for the statistics and machine learning communities. In this talk, I will present an overview of fMRI and some of the current machine learning challenges. I will discuss recent work on hierarchical Bayesian methods for dealing with high dimensional, sparse data. I will also discuss the application of classical order statistics to the problem of feature selection. Finally, I will show some of our latest results combining a large text corpus with fMRI to produce a generative model of neuro-activation for arbitrary words in the English language. |
| 关 键 词: | 功能磁共振成像; 机器学习; 贝叶斯方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-22：chenxin |
| 阅读次数: | 140 |