0


谁怕损失非凸函数?

Who is Afraid of Non-Convex Loss Functions?
课程网址: http://videolectures.net/eml07_lecun_wia/  
主讲教师: Yann LeCun
开课单位: 纽约大学
开课时间: 2007-11-29
课程语种: 英语
中文简介:
NIPS社区遭受了急性传染病的侵袭: -ML应用程序似乎难以超越logistic回归、SVMs和指数族图形模型; -对于一个新的ML模型,凸性被认为是一个优点; -凸性有时是一种美德; -但这往往是一个局限。
课程简介: The NIPS community has suffered of an acute convexivitis epidemic:  - ML applications seem to have trouble moving beyond logistic regression, SVMs, and exponential-family graphical models;  - For a new ML model, convexity is viewed as a virtue;  - Convexity is sometimes a virtue;  - But it is often a limitation.   
关 键 词: logistic; SVMs; 指数族图形模型; 非凸函数
课程来源: 视频讲座网
数据采集: 2020-03-30:zhouxj
最后编审: 2020-05-25:cxin
阅读次数: 40