发布求助
文献互助 智能选刊 最新文献

2011 International Conference on Machine Learning and Cybernetics最新文献

筛选
英文 中文
Similarity measures between intervals of linguistic 2-tuples and the intervals of linguistic 2-tuples weighted average operator 语言二元组的区间与语言二元组加权平均算子的区间之间的相似度度量
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016999
Shyi-Ming Chen, Li-Wei Lee, V. Shen
{"title":"Similarity measures between intervals of linguistic 2-tuples and the intervals of linguistic 2-tuples weighted average operator","authors":"Shyi-Ming Chen, Li-Wei Lee, V. Shen","doi":"10.1109/ICMLC.2011.6016999","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016999","url":null,"abstract":"In this paper, we present a similarity measure between intervals of linguistic 2-tuples and present the intervals of linguistic 2-tuples weighted average operator. The proposed the proposed similarity measure between intervals of linguistic 2-tuples and the proposed intervals of linguistic 2-tuples weighted average operator can be used for fuzzy group decision making based on the linguistic 2-tuples representation.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122524432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Attribute reduction in fuzzy decision formal contexts 模糊决策形式语境中的属性约简
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016665
Duo Pei, Meizheng Li, Jusheng Mi
{"title":"Attribute reduction in fuzzy decision formal contexts","authors":"Duo Pei, Meizheng Li, Jusheng Mi","doi":"10.1109/ICMLC.2011.6016665","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016665","url":null,"abstract":"The classical concept lattices express the precise relation between object sets and attribute sets, but fuzzy concept lattices express the uncertain relation between object sets and attribute sets. Therefore, it is important to study hierarchy fuzzy knowledge from a fuzzy formal context. In this paper, a kind of fuzzy decision formal context is proposed and (α, β) reduct based on this fuzzy decision formal context is defined. Furthermore, we propose a method to judge attribute consistent sets and reducts in fuzzy decision formal contexts. Finally, a Boolean method is also formulated to attribute reduction in fuzzy decision formal context from the view of the discernibility matrix.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Generalized derivatives of generalized distance functions and the existence of generalized nearest points 广义距离函数的广义导数与广义最近点的存在性
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016815
Xianfa Luo, Jinsu He
{"title":"Generalized derivatives of generalized distance functions and the existence of generalized nearest points","authors":"Xianfa Luo, Jinsu He","doi":"10.1109/ICMLC.2011.6016815","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016815","url":null,"abstract":"This note investigates the relationships between the generalized directional derivatives of the generalized distance function and the existence of the generalized nearest points in Banach spaces. It is proved that the generalized distance function associated with a closed bounded convex set having the Clark, Michel-Penot, Dini, or modified Dini derivative equals to 1 or −1 implies the existence of generalized nearest points. Also, new characterization theorems of (compact) locally uniformly sets are obtained.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116819405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Semantic web service discovery based on business rule annotation 基于业务规则注释的语义web服务发现
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016837
Shang-Pin Ma, Chia-Hsueh Li, Chun-Ying Huang, Yong-Yi Fanjiang, J. Kuo
{"title":"Semantic web service discovery based on business rule annotation","authors":"Shang-Pin Ma, Chia-Hsueh Li, Chun-Ying Huang, Yong-Yi Fanjiang, J. Kuo","doi":"10.1109/ICMLC.2011.6016837","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016837","url":null,"abstract":"An important vision of Service-Oriented Computing is to dynamically discover and bind services at run-time. Nowadays, how to identify relevant services which satisfy the desired goal by considering business policies is still a challenge. Although multiple efforts have tried to address this issue, these efforts usually provide solutions based on private specifications and protocols, not based on open standards. It causes obstacles to achieve interoperability among services from different organizations. In this paper, we present an approach integrating SAWSDL and OWL to enable annotating Quality of Business Services (QoBS) for describing business rules and constraints. Besides, we provide a method to classify the QoBS annotations and to reason out the matching degree from the viewpoint of business rules satisfaction.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117103672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Rapid feature extraction for Bangla handwritten digit recognition 孟加拉文手写数字识别的快速特征提取
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6017001
M. Z. Hossain, M. Amin, H. Yan
{"title":"Rapid feature extraction for Bangla handwritten digit recognition","authors":"M. Z. Hossain, M. Amin, H. Yan","doi":"10.1109/ICMLC.2011.6017001","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6017001","url":null,"abstract":"Feature extraction is one of the fundamental problems of character recognition. The performance of character recognition system is largely depending on proper feature extraction and correct classifier selection. In this article, a rapid feature extraction method is proposed and named as Celled Projection (CP) that compute the projection of each section formed through partitioning an image. The recognition performance of the proposed method is compared with other widely used feature extraction methods that are intensively studied for many different scripts in literature. The experiments have been conducted using Bangla handwritten numerals along with three different well known classifiers which demonstrate comparable results including 94.12% recognition accuracy using celled-projection.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129631284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Grey relational analysis of students' behavior in LMS LMS学生行为的灰色关联分析
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016794
Ai-Lun Wu, Shun-Jyh Wu, Shu-Ling Lin
{"title":"Grey relational analysis of students' behavior in LMS","authors":"Ai-Lun Wu, Shun-Jyh Wu, Shu-Ling Lin","doi":"10.1109/ICMLC.2011.6016794","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016794","url":null,"abstract":"The purpose of this study is to understand how student behave in the online learning environment Moodle. By using Grey relational analysis to understand and to predict students' grades, researchers are interested in understanding if there is any association between students' interactivities and their final grades in Moodle system. We developed online materials for two-semester elementary calculus for the first-year students in college of management of a general University in Taiwan. The current data are collected from the online activities of the first semester, whose topics cover the introductory review through derivatives of exponential and logarithmic functions. Twelve online quizzes are built up to include all important topics of the coverage. GRA results are obtained from this group, so we can understand which online quiz activity is significantly correlated with students' final grades.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128731002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Multi-attribute cloud decision method based on linguistic assessment and its application in evaluation and selection of merging technology 基于语言评价的多属性云决策方法及其在合并技术评价选择中的应用
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016805
Chunwei Guo, Ai-Yan Wu, Xuefeng Wang, Dong-hua Zhu, Xiao-Fan Heng, Xiao-Guang Lu
{"title":"Multi-attribute cloud decision method based on linguistic assessment and its application in evaluation and selection of merging technology","authors":"Chunwei Guo, Ai-Yan Wu, Xuefeng Wang, Dong-hua Zhu, Xiao-Fan Heng, Xiao-Guang Lu","doi":"10.1109/ICMLC.2011.6016805","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016805","url":null,"abstract":"The paper uses cloud model, and proposes a multi-attribute cloud decision method based on linguistic assessment. It includes mainly several parts as follows. First, the described rank cloud and the evaluated rank cloud respectively are presented to measure attribute rank and rank certainty degree. On the basis, cloud normalizing algorithm is presented to fuse several values of an attribute given by experts. Then, cloud aggregation algorithm is presented to integrate different attribute information and get every alternative value, and the most desirable alternative is selected according to their values. Cloud model can express the relationship between randomness and fuzziness, so the method is more effective to measure linguistic assessment information. Finally, an example with linguistic assessment information shows that the method is simple and feasible.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An improved particle filter based on diversity guidance 基于分集制导的改进粒子滤波
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016858
Jinxia Yu, Yongli Tang, Xianwei Liu, Qian Zhao
{"title":"An improved particle filter based on diversity guidance","authors":"Jinxia Yu, Yongli Tang, Xianwei Liu, Qian Zhao","doi":"10.1109/ICMLC.2011.6016858","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016858","url":null,"abstract":"Particle filter has been widely applied into many fields in recent years. Combined with the deficiency analysis of particle filter, an improved particle filter based on diversity guidance is proposed. Firstly, the adaptive resampling step in particle filter is tuned based on two diversity measures which are effective sample size and population diversity factor. Moreover, the operation of particle mutation after resampling is integrated into PF so as to assure the diversity of particle sets. Then, a hybrid proposal distribution is adopted to consider current information of the latest observed measurement. At the same time, annealing parameter is utilized to control the proportional of priori function and likelihood function. With the simulation program using matlab 7.0 to track a single target motion from a fixed visual observation points, the validity of the proposed method is verified.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121293336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D Diffusion tensor magnetic resonance images denoising based on sparse representation 基于稀疏表示的三维扩散张量磁共振图像去噪
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016994
Y. Kong, Defeng Wang, Tian-Fu Wang, W. Chu, A. Ahuja
{"title":"3D Diffusion tensor magnetic resonance images denoising based on sparse representation","authors":"Y. Kong, Defeng Wang, Tian-Fu Wang, W. Chu, A. Ahuja","doi":"10.1109/ICMLC.2011.6016994","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016994","url":null,"abstract":"Diffusion tensor magnetic resonance imaging (DT-MRI) is widely used to characterize white matter health and brain disease. However, the DT-MRI is very sensitive to noise. This paper proposes a sparse representation based denoising method for 3D diffusion weighted images (DWI) in DT-MRI. As consecutive 2D images in DWI volume have similar content and structure, we can process a fixed number of adjacent images from DWI volume simultaneously. The proposed method first learned a dictionary from the selected 2d diffusion weighted images according to the K-SVD learning algorithm. Then the clean images are obtained by gradually approximating the underlying images using the bases selected from the learned dictionary based on sparse representation. At last, the tensor images are estimated from the diffusion weighted images. The experiments on both synthetic and real DT-MRI images show that the proposed method performs better than classical techniques by preserving image contrast and structures.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"4 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114205036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Image scene categorization using multi-bag-of-features 基于多特征袋的图像场景分类
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6017012
Weifeng Zhang, Zengchang Qin, T. Wan
{"title":"Image scene categorization using multi-bag-of-features","authors":"Weifeng Zhang, Zengchang Qin, T. Wan","doi":"10.1109/ICMLC.2011.6017012","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6017012","url":null,"abstract":"Image scene classification, the classification of images into semantic categories, e.g. city, urban, sea, etc, has recently become a vigorous research focus in computer vision for its broad application prospect. In this paper, we propose a novel approach to understand image semantic scene based on multi-bag-of-features. We aim to design an efficient but simple scene classification algorithm via fusing multiple low-level image features. Experimental results demonstrate that the proposed approach offers an effective way to classify the complex image scenes by using a multi-bag-of-features model.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信