Learning a generative classifier from label proportions

CASIA OpenIR > 中科院工业视觉智能装备工程实验室 > 精密感知与控制

	Learning a generative classifier from label proportions
	Fan, Kai 1; Zhang, Hongyi 1; Yan, Songbai 1; Wang, Liwei 1; Zhang, Wensheng2 ; Feng, Jufu 1
发表期刊	NEUROCOMPUTING
	2014-09-02
卷号	139 页码:47-55
文章类型	Article
摘要	Learning a classifier when only knowing the features and marginal distribution of class labels in each of the data groups is both theoretically interesting and practically useful. Specifically, we consider the case in which the ratio of the number of data instances to the number of classes is large. We prove sample complexity upper bound in this setting, which is inspired by an analysis of existing algorithms. We further formulate the problem in a density estimation framework to learn a generative classifier. We also develop a practical RBM-based algorithm which shows promising performance on benchmark datasets. (C) 2014 Elsevier B.V. All rights reserved.
关键词	Proportion Learning Bayesian Model Restricted Boltzmann Machine
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000337661800006
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10748
专题	中科院工业视觉智能装备工程实验室_精密感知与控制
作者单位	1.Peking Univ, Sch Elect Engn & Comp Sci, MOE, Key Lab Machine Percept, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China
推荐引用方式 GB/T 7714	Fan, Kai,Zhang, Hongyi,Yan, Songbai,et al. Learning a generative classifier from label proportions[J]. NEUROCOMPUTING,2014,139:47-55.
APA	Fan, Kai,Zhang, Hongyi,Yan, Songbai,Wang, Liwei,Zhang, Wensheng,&Feng, Jufu.(2014).Learning a generative classifier from label proportions.NEUROCOMPUTING,139,47-55.
MLA	Fan, Kai,et al."Learning a generative classifier from label proportions".NEUROCOMPUTING 139(2014):47-55.