Cognitive gravitation model for classification on small noisy data
文献类型:期刊论文
作者 | Wen, Guihua1,2; Wei, Jia1; Wang, Jiabing1; Zhou, Tiangang2; Chen, L.2 |
刊名 | NEUROCOMPUTING
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出版日期 | 2013 |
卷号 | 118页码:245-252 |
关键词 | Cognitive laws Nearest neighbors Classification Gravitation model |
ISSN号 | 0925-2312 |
产权排序 | 1 |
通讯作者 | Wen, GH (reprint author), S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China. |
英文摘要 | When performing the classification on the high dimensional, the sparse, or the noisy data, many approaches easily lead to the dramatic performance degradation. To deal with this issue from the different perspective, this paper proposes a cognitive gravitation model (CGM) based on both the law of gravitation in physics and the cognitive laws, where the self-information of each sample instead of mass is applied. Subsequently, a new classifier is designed which utilizes CGM to find k nearest neighbors from each class for the query sample and then classifies this query sample to the class whose cognitive gravitation is largest. The cognitive gravitation of the class is defined as the sum of the cognitive gravitation between its each nearest neighbor and the query sample. The advantage of our approach is that it has a firm and simple mathematical basis while it has good classification performance. The conducted experiments on challenging benchmark data sets validate the proposed model and the classification approach. (C) 2013 Elsevier B.V. All rights reserved. |
学科主题 | Emotional psychology |
收录类别 | SCI |
项目简介 | This work was supported by China National Science Foundation under Grants 60973083, 61273363, 61003174 and State Key Laboratory of Brain and Cognitive Science under grants 08B12. |
原文出处 | http://ac.els-cdn.com/S0925231213003317/1-s2.0-S0925231213003317-main.pdf?_tid=1f8ddb38-ac07-11e4-8c08-00000aab0f26&acdnat=1423010912_f3202ee1fe1104228516eb008d6a88e1 |
语种 | 英语 |
WOS记录号 | WOS:000323693700025 |
源URL | [http://ir.psych.ac.cn/handle/311026/10693] ![]() |
专题 | 心理研究所_脑与认知科学国家重点实验室 |
作者单位 | 1.S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Wen, Guihua,Wei, Jia,Wang, Jiabing,et al. Cognitive gravitation model for classification on small noisy data[J]. NEUROCOMPUTING,2013,118:245-252. |
APA | Wen, Guihua,Wei, Jia,Wang, Jiabing,Zhou, Tiangang,&Chen, L..(2013).Cognitive gravitation model for classification on small noisy data.NEUROCOMPUTING,118,245-252. |
MLA | Wen, Guihua,et al."Cognitive gravitation model for classification on small noisy data".NEUROCOMPUTING 118(2013):245-252. |
入库方式: OAI收割
来源:心理研究所
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