Learning a generative classifier from label proportions
文献类型：期刊论文
| 作者 | Fan, Kai1; Zhang, Hongyi1; Yan, Songbai1; Wang, Liwei1; Zhang, Wensheng2 ; Feng, Jufu1
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| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2014-09-02 |
| 卷号 | 139页码:47-55 |
| 关键词 | Proportion learning Bayesian model Restricted Boltzmann machine |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337661800006 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10748]  |
| 专题 | 精密感知与控制研究中心_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. |
入库方式： OAI收割
来源：自动化研究所
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