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复曲面的混合模型修改

Toric Modification on Mixture Models
课程网址: http://videolectures.net/aml08_yamazaki_tmmm/  
主讲教师: Sumio Watanabe, Keisuke Yamazaki
开课单位: 东京理工大学
开课时间: 2008-12-20
课程语种: 英语
中文简介:
在贝叶斯估计中,指出奇异性的求解为阐明学习机的泛化性能提供了一种算法。然而,目前还没有找到分辨率图的有效方法。本文提出了一种基于转矩修正的新方法——牛顿图法。通过该方法,明确了几种层次模型的学习曲线。
课程简介: In the Bayes estimation, it was pointed out that resolution of singularity provides an algorithm to elucidate the generalization performance of learning machines. However, there is no effective procedure to find the resolution map. This presentation proposes a new method to find it based on the toric modification, using Newton diagram. By the proposed method, learning curves of several hierarchical models are clarified.
关 键 词: 复曲面; 混合模型修改
课程来源: 视频讲座网
最后编审: 2020-09-21:heyf
阅读次数: 29