Big Learning with Bayesian Methods(5)

第三届自然语言处理与中文计算会议(NLPCC 2014)——In this talk,I will introduce some recent developments on generalizing Bayes'theorem to incorporate rich side information,which can be the large-margin property we like to impose on the model distribution,or the domain knowledge collected from experts or the crowds,and scalable online learning and distributed inference algorithms.

关键词: 贝叶斯方法 贝叶斯定理 大数据 贝叶斯正则化 推理算法

主讲人:A.P. Jun Zhu 机构:Tsinghua University

时长:0:16:09 年代:2014年