发布求助
文献互助 智能选刊 最新文献

2008 4th International IEEE Conference Intelligent Systems最新文献

筛选
英文 中文
Clustering and sorting multi-attribute objects in multiset metric space 多集度量空间中多属性对象的聚类与排序
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670507
A. Petrovsky
{"title":"Clustering and sorting multi-attribute objects in multiset metric space","authors":"A. Petrovsky","doi":"10.1109/IS.2008.4670507","DOIUrl":"https://doi.org/10.1109/IS.2008.4670507","url":null,"abstract":"The paper considers new techniques for clustering and sorting objects that are described with many quantitative and/or qualitative attributes and may exist in several copies with inconsistent and contradictory attributes. Methods are based on the theory of multiset metric spaces. New options for the objectspsila aggregation and features of classes generated are discussed.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114639730","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: 2
Semantics-based information valuation 基于语义的信息评估
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670438
Sinan Al-Saffar, G. Heileman
{"title":"Semantics-based information valuation","authors":"Sinan Al-Saffar, G. Heileman","doi":"10.1109/IS.2008.4670438","DOIUrl":"https://doi.org/10.1109/IS.2008.4670438","url":null,"abstract":"Information understanding and information valuation have mostly been studied separately. In this paper we propose using information understanding to reach a definition for information value or quality. We demonstrate how information valuation can be predicted and computed as potential causal impact of extractable semantics.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114760972","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: 2
Analog CMOS implementation of order weight average operator for fuzzy logic controller chip 模拟CMOS实现的阶权平均算子为模糊逻辑控制器芯片
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670401
K. Gheysari, A. Khoei, K. Hadidi, M. Mokarram
{"title":"Analog CMOS implementation of order weight average operator for fuzzy logic controller chip","authors":"K. Gheysari, A. Khoei, K. Hadidi, M. Mokarram","doi":"10.1109/IS.2008.4670401","DOIUrl":"https://doi.org/10.1109/IS.2008.4670401","url":null,"abstract":"The family of Ordered Weighted Averaging (OWA) operators, as introduced by Yager, appear to be very useful in multi-criteria decision-making (MCDM) and It provides a general class of parameterized aggregation operators that include the min, max, average operators. In this paper, we present Analog CMOS implementation of OWA operator in current-mode and 0.35 mum CMOS technologies for the first time. The proposed circuit has high flexibility and programmability and accuracy .We simulated our proposed design in 49 level HSPICE simulation software and its results show that this block can be used in analog fuzzy logic controller chip (FLC).","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117255654","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
Plan-based reward shaping for reinforcement learning 基于计划的强化学习奖励塑造
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670492
M. Grzes, D. Kudenko
{"title":"Plan-based reward shaping for reinforcement learning","authors":"M. Grzes, D. Kudenko","doi":"10.1109/IS.2008.4670492","DOIUrl":"https://doi.org/10.1109/IS.2008.4670492","url":null,"abstract":"Reinforcement learning, while being a highly popular learning technique for agents and multi-agent systems, has so far encountered difficulties when applying it to more complex domains due to scaling-up problems. This paper focuses on the use of domain knowledge to improve the convergence speed and optimality of various RL techniques. Specifically, we propose the use of high-level STRIPS operator knowledge in reward shaping to focus the search for the optimal policy. Empirical results show that the plan-based reward shaping approach outperforms other RL techniques, including alternative manual and MDP-based reward shaping when it is used in its basic form. We show that MDP-based reward shaping may fail and successful experiments with STRIPS-based shaping suggest modifications which can overcome encountered problems. The STRIPS-based method we propose allows expressing the same domain knowledge in a different way and the domain expert can choose whether to define an MDP or STRIPS planning task. We also evaluate the robustness of the proposed STRIPS-based technique to errors in the plan knowledge.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895008","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: 79
Mathematical models of dynamic systems with entropy operator and their applications 具有熵算子的动态系统数学模型及其应用
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670395
Y. Popkov
{"title":"Mathematical models of dynamic systems with entropy operator and their applications","authors":"Y. Popkov","doi":"10.1109/IS.2008.4670395","DOIUrl":"https://doi.org/10.1109/IS.2008.4670395","url":null,"abstract":"Mathematical definition of a class dynamic systems with entropy operator is considered (DSEO) The main properties of the entropy operator - existing, continuity, boundedness, differentiability are investigated. The stability conditions are obtained for the DSEO with multiplicative and additive flows. The theoretical results are used for mathematical modeling of labor market and in dynamic procedure of the image restoration from projections.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122117454","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
Privacy-preserving protocols for perceptron learning algorithm in neural networks 神经网络感知器学习算法的隐私保护协议
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670499
Saeed Samet, Ali Miri
{"title":"Privacy-preserving protocols for perceptron learning algorithm in neural networks","authors":"Saeed Samet, Ali Miri","doi":"10.1109/IS.2008.4670499","DOIUrl":"https://doi.org/10.1109/IS.2008.4670499","url":null,"abstract":"Neural networks have become increasingly important in areas such as medical diagnosis, bio-informatics, intrusion detection, and homeland security. In most of these applications, one major issue is preserving privacy of individualpsilas private information and sensitive data. In this paper, we propose two secure protocols for perceptron learning algorithm when input data is horizontally and vertically partitioned among the parties. These protocols can be applied in both linearly separable and non-separable datasets, while not only data belonging to each party remains private, but the final learning model is also securely shared among those parties. Parties then can jointly and securely apply the constructed model to predict the output corresponding to their target data. Also, these protocols can be used incrementally, i.e. they process new coming data, adjusting the previously constructed network.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130252091","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: 15
A hybrid method using PSO and NHL algorithms to train Fuzzy Cognitive Maps 一种基于PSO和NHL算法的模糊认知图训练混合方法
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670458
M. N. Yazdi, C. Lucas
{"title":"A hybrid method using PSO and NHL algorithms to train Fuzzy Cognitive Maps","authors":"M. N. Yazdi, C. Lucas","doi":"10.1109/IS.2008.4670458","DOIUrl":"https://doi.org/10.1109/IS.2008.4670458","url":null,"abstract":"In this paper a new hybrid method for training fuzzy cognitive maps is presented. FCMs are based on the knowledge of human experts and may not be accurate enough because of probable mistakes of experts. Thus, some learning methods have been investigated to train FCMs, so that these probable mistakes are covered. Two learning methods, PSO and NHL, and a new hybrid of them are introduced and implemented and tested for a chemical control problem.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130232282","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
Network flow interpretation of logical structures in decision support systems 决策支持系统中逻辑结构的网络流解释
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670448
V. Sgurev, M. Hadjiski, V. Jotsov
{"title":"Network flow interpretation of logical structures in decision support systems","authors":"V. Sgurev, M. Hadjiski, V. Jotsov","doi":"10.1109/IS.2008.4670448","DOIUrl":"https://doi.org/10.1109/IS.2008.4670448","url":null,"abstract":"Enhanced network flow methods have been proposed in the logical operations frame aiming at efficient methods and algorithms in the analysis and synthesis of various logical structures. Quantitative truth maintenance methods have been combined or replaced by qualitative optimization calculations. The method is widely applicable in intelligent systems.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498623","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
A new approach for finding face features in color images 彩色图像中人脸特征的一种新方法
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670517
A. Popov, D. Dimitrova
{"title":"A new approach for finding face features in color images","authors":"A. Popov, D. Dimitrova","doi":"10.1109/IS.2008.4670517","DOIUrl":"https://doi.org/10.1109/IS.2008.4670517","url":null,"abstract":"This paper considers the problem of finding facial features in frontal color images by offering a method for efficient detection. For a given image, our method firstly detects the skin regions on by color segmentation. This segmentation is performed in a 2D projection of the selected color space (HSV, YES, YCrCb or normalized RGB). After that face candidates are found. Then we apply fuzzy mathematical morphology methods to locate precisely the right eyebrow (if exists). Thus we obtain a meaningful feature. A computer implementation in MATLAB is made for experimentation. The visual results of the experiments show the plausibility of proposed techniques.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"132 2-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120918033","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
Application of the Analytic Network Process (ANP) in a framework of ERP systems implementation success 分析网络过程(ANP)在ERP系统成功实施框架中的应用
2008 4th International IEEE Conference Intelligent Systems Pub Date : 2008-11-11 DOI: 10.1109/IS.2008.4670468
V. Dimitrova
{"title":"Application of the Analytic Network Process (ANP) in a framework of ERP systems implementation success","authors":"V. Dimitrova","doi":"10.1109/IS.2008.4670468","DOIUrl":"https://doi.org/10.1109/IS.2008.4670468","url":null,"abstract":"The objective of this paper is to propose a framework of ERP systems implementation success that helps project managers to deal with large and complex ERP systems implementation projects. The framework is designed to evaluate and to select activities or alternatives to improvement the degree of performance by the success factors by using the analytic network process (ANP) and the priority matrix (PM). The experience with the application of ANP in a framework of ERP systems implementation success suggests that it offers guidelines in the evaluation and selection of alternatives.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132633944","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: 9
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：481959085
Book学术官方微信