文件名称:
A brief introduction to weakly supervised learning.pdf
开发工具:
文件大小: 866kb
下载次数: 0
上传时间: 2020-03-29
详细说明：Supervised learningtechniques construct predictive models by learning from a large number of training
examples, where each training example has a label indicating its ground-truth output. Though current
techniques have achieved great success, it is noteworthy that in many tasks it is difficult to get strong
supervision information like fully ground-truth labels due to the high cost of the data-labeling process. Thus,
it is desirable for machine-learning techniques to work with weak supervision. This article reviews some
research progress of weakly supervised learning, focusing on three typical types of weak supervision:
incomplete supervision, where only a subset of training data is given with labels; inexact supervision, where
the training data are given with only coarse-grained labels; and inaccurate supervision, where the given
labels are not always ground-truth
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
