发布求助
文献互助 智能选刊 最新文献

2009 8th IEEE International Conference on Cognitive Informatics最新文献

筛选
英文 中文
Neighborhood sharing particle swarm optimization 邻域共享粒子群优化
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250685
Y. Chu, Z. Cui
{"title":"Neighborhood sharing particle swarm optimization","authors":"Y. Chu, Z. Cui","doi":"10.1109/COGINF.2009.5250685","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250685","url":null,"abstract":"Biological results suggest that information provided by neighborhood of each individual offers an evolutionary advantage, furthermore, the current state of neighbors significantly impact on the decision process of group members. However, particle swarm algorithm, as a simulation of group foraging behavior, does not introduce the neighborhood sharing information into its evolutionary equations. Hence, this paper replaces the individual experience by the neighbor sharing information of current state and proposes the neighborhood sharing particle swarm algorithm. In order to verify the performance of the algorithm, five typical high dimensional multimodal functions are selected and the simulation results show that the proposed algorithm is not only superior to the standard version, but also much better than the other two variants.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128609453","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
Using artificial physics to solve global optimization problems 利用人工物理解决全局优化问题
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250689
Liping Xie, J. Zeng, Z. Cui
{"title":"Using artificial physics to solve global optimization problems","authors":"Liping Xie, J. Zeng, Z. Cui","doi":"10.1109/COGINF.2009.5250689","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250689","url":null,"abstract":"Heuristics are quite an effective kind of methods to solve global optimization problems, which utilizes sample solution(s) searching the feasible regions of the problems in various intelligent ways. Inspired by physical rule, this paper proposes a stochastic global optimization algorithm based on Physicomimetics framework. In the algorithm, a population of sample individuals search a global optimum in the problem space driven by virtual forces, which simulate the process of the system continually evolving from initial higher potential energy to lower one until a minimum is reached. Each individual has a mass, position and velocity. The mass of each individual corresponds to a user-defined function of the value of an objective function to be optimized. An attraction-repulsion rule is constructed and used to move individuals towards the optimality. Experimental simulations show that the algorithm is effective.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127656152","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: 23
Studies on classification models using decision boundaries 基于决策边界的分类模型研究
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250724
Zhiyong Yan, Congfu Xu
{"title":"Studies on classification models using decision boundaries","authors":"Zhiyong Yan, Congfu Xu","doi":"10.1109/COGINF.2009.5250724","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250724","url":null,"abstract":"A classification model is obtained after a classifier is trained on training data. Decision region is the region in which data are predicted the same class label by a classifier. Decision boundary is the boundary between regions of different classes. We view classification as dividing the data space into decision regions. The formal definitions of decision region and decision boundary are presented in this paper, and then the relationship between classification models and decision boundaries are studied. We present the analytical expressions of decision boundaries of four typical classifiers, which are C4.5 algorithm, back propagation (BP) neural network, naive Bayes classifier and support vector machine (SVM). Comparative experiments are performed to illustrate different decision boundaries of these four classifiers. Decision boundaries of ensemble learning are discussed. The concept of probability gradient region is introduced for probability based classifiers, and SOMPGRV algorithm is proposed for visualizing probability gradient regions.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"619 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115825645","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: 7
Qualification and quantification of fuzzy linguistic variables and fuzzy expressions 模糊语言变量和模糊表达式的定性和量化
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250732
Yingxu Wang
{"title":"Qualification and quantification of fuzzy linguistic variables and fuzzy expressions","authors":"Yingxu Wang","doi":"10.1109/COGINF.2009.5250732","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250732","url":null,"abstract":"One of the essences of fuzzy logic is how fuzzy variables and fuzzy expressions may be transformed into precise quantities and rigorous models in fuzzy inferences. This paper presents a denotational mathematical structure and methodology for modeling fuzzy qualifications and quantifications in cognitive informatics, soft computing, and computational intelligence. Fuzzy qualifications and quantifications for both absolute and relative measures are formally elaborated on discrete and continuous fuzzy object and expressions. In addition, the qualification for characteristic attributes of fuzzy objects is modeled. Applications of fuzzy qualifications and quantifications are illustrated using a rich set of examples and real-world cases, which enable machines to mimic complex human reasoning mechanisms in cognitive informatics, soft computing, and computational intelligence.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"24 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117240015","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
Critical thinking attitudes for reasoning with points of view 批判性思维态度与观点推理
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250710
Christiana Panayiotou, B. Bennett
{"title":"Critical thinking attitudes for reasoning with points of view","authors":"Christiana Panayiotou, B. Bennett","doi":"10.1109/COGINF.2009.5250710","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250710","url":null,"abstract":"This paper provides the semantics and axiomatization of propositional attitudes relevant to the critical thinking activity. This axiomatization can be used to provide a common ground for reasoning with different resources for the purpose of representing and analysing their points of view about particular issues. It can also be used during interaction with other (possibly human) agents in order to model their mental states and plan argumentative disourse.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"388 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123526335","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
Interval sets and interval-set algebras 区间集与区间集代数
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250723
Yiyu Yao
{"title":"Interval sets and interval-set algebras","authors":"Yiyu Yao","doi":"10.1109/COGINF.2009.5250723","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250723","url":null,"abstract":"An interval set is an interval in the power set lattice based on a universal set and is a family of subsets of the universal set. Interval sets and interval-set algebras provide a tool for modeling and processing partially known concepts and for approximating undefinable or complex concepts. Existing results on interval sets and interval-set algebras are reviewed and new results are given. Two types of interval-set algebras are examined based on an inclusion ordering and a knowledge ordering, respectively. Related studies are summarized.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131580188","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: 51
Learning from an ensemble of Receptive Fields 从接受域的集合中学习
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250804
Hanlin Goh, Joo-Hwee Lim, Hiok Chai Quek
{"title":"Learning from an ensemble of Receptive Fields","authors":"Hanlin Goh, Joo-Hwee Lim, Hiok Chai Quek","doi":"10.1109/COGINF.2009.5250804","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250804","url":null,"abstract":"In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encoding Receptive Fields (SERF), is able to perform fast and accurate data classification and regression of multi-dimensional data. A SERF is a histogram structure that encodes the shape of multi-dimensional data relative to its center, in a manner similar to the neural coding of sensory stimulus by the receptive fields. The bins of this histogram represent a local region in an n-dimensional space. During the training phase, an ensemble of K SERF structures are initialized and data is summarized into the corresponding bins of each SERF structure. The collection of local data summaries makes each SERF a coarse nonlinear data predictor over the entire feature space. The output prediction of an unknown query is computed by the weighted aggregation of the hypotheses of the ensemble of K SERFs. In our series of experiments, we demonstrate the model's superiority to perform fast and accurate data prediction.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129650091","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
An agent-based cognitive approach for healthcare process management 用于医疗保健流程管理的基于代理的认知方法
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250698
Bian Wu, Minhong Wang, Ho-Kun Yun, Haijing Jiang
{"title":"An agent-based cognitive approach for healthcare process management","authors":"Bian Wu, Minhong Wang, Ho-Kun Yun, Haijing Jiang","doi":"10.1109/COGINF.2009.5250698","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250698","url":null,"abstract":"Healthcare organizations are facing the challenge of delivering high-quality services through effective process management. There have been frequent changes of clinical processes and increased interactions between different functional units. To facilitate the dynamic and interactive processes in healthcare organizations, an agent-based cognitive approach is presented in this study. The emphasis is placed on dynamic clinical and administrative process management, and knowledge building as the foundation for process management. The treatment of primary open angle glaucoma is used as an example to demonstrate the effectiveness of approach for healthcare process management.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130014105","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
Cognitive Computing and machinable thought 认知计算和可加工思维
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250709
Yingxu Wang
{"title":"Cognitive Computing and machinable thought","authors":"Yingxu Wang","doi":"10.1109/COGINF.2009.5250709","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250709","url":null,"abstract":"Cognitive Computing (CC) is an emerging paradigm of intelligent computing methodologies and systems that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain [1, 3, 4, 5, 6, 12, 13, 15, 16, 18, 20, 22, 23]. CC is emerged and developed based on the transdisciplinary research in cognitive informatics and abstract intelligence. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications [1, 3, 6, 12, 13, 20, 22]. The theoretical framework of cognitive informatics [6] covers the Information-Matter-Energy (IME) model [5], the Layered Reference Model of the Brain (LRMB) [19], the Object-Attribute-Relation (OAR) model of information representation in the brain [7], the cognitive informatics model of the brain [17], Natural Intelligence (NI) [6], and neuroinformatics [6]. Recent studies on LRMB in cognitive informatics reveal an entire set of cognitive functions of the brain and their cognitive process models, which explain the functional mechanisms and cognitive processes of the natural intelligence with 43 cognitive processes at seven layers known as the sensation, memory, perception, action, meta-cognitive, meta-inference, and higher cognitive layers from the bottom up [19].","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742968","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: 11
Hiding association rules based on relative-non-sensitive frequent itemsets 隐藏基于相对非敏感频繁项集的关联规则
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250708
Xueming Li, Zhijun Liu, Chuan Zuo
{"title":"Hiding association rules based on relative-non-sensitive frequent itemsets","authors":"Xueming Li, Zhijun Liu, Chuan Zuo","doi":"10.1109/COGINF.2009.5250708","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250708","url":null,"abstract":"Association rules hiding algorithms often sanitize transactional databases for protecting sensitive information. Data modification is one of the most important sanitation approaches. However, the exist modification methods either focus on hiding sensitive rules only, or take measures to reduce the impact on non-sensitive rules from the whole database while hiding sensitive rules. In this paper, we propose a new algorithm which hides sensitive rules from the side of non-sensitive rules. It classifies the sensitive transactions by their degree of conflict. For the special group of transactions, a victim-item must satisfy: 1, in the sensitive rules; 2, not in the non-sensitive rules. Our algorithm selects different victim-items in different transactions that contain the same rule, which makes sure that removing the victim-items in the special group of transactions has no influence to non-sensitive rules. The experimental results show that our algorithm for sanitizing transactional database can achieve better results compared with others algorithms such as Naïve, MinFIA, MaxFIA and IGA. In particular, our algorithm has the least impact on non-sensitive rules.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130391140","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
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