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

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Alignment particle swarm optimization 对准粒子群优化
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250688
Z. Cui
{"title":"Alignment particle swarm optimization","authors":"Z. Cui","doi":"10.1109/COGINF.2009.5250688","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250688","url":null,"abstract":"Particle swarm optimization (PSO) simulates the boids' collective behaviors. The original biological background of boid should follow three basic simple steering behaviors: separation, alignment and cohesion. However, to promote a fast convergent speed, the velocity update manner of each boid omits the alignment rule, this may result premature convergence phenomenon. Therefore, in this paper, the alignment rule is added to the velocity update manner for optimizing the multi-modal numerical problems, in which each particle adjusts its moving direction according to the personal historical best position and the alignment direction. Furthermore, a mutation operator is also introduced to enhance the population diversity. Simulation results show the proposed algorithm is effective and efficient.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"28 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":"134208942","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: 5
Surface representation and processing 表面表示与处理
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250681
Xin Feng, Minyong Shi
{"title":"Surface representation and processing","authors":"Xin Feng, Minyong Shi","doi":"10.1109/COGINF.2009.5250681","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250681","url":null,"abstract":"Surface representation and processing is one of the key topics in computer graphics, since it greatly affects the range of possible applications. This paper reviews the Laplacian operator (differential coordinates) which represent surface's differential geometric properties , discuss the mesh deformation and smoothing based on Laplacian operator.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"61 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":"134305214","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
Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease 基于分类器集成的迟发性阿尔茨海默病全基因组SNP数据集分析
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.4018/jssci.2010100105
L. Coelho, B. Goertzel, C. Pennachin, C. Heward
{"title":"Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease","authors":"L. Coelho, B. Goertzel, C. Pennachin, C. Heward","doi":"10.4018/jssci.2010100105","DOIUrl":"https://doi.org/10.4018/jssci.2010100105","url":null,"abstract":"The OpenBiomind toolkit is used to apply GA, GP and local search methods to analyze a large SNP dataset concerning Late-Onset Alzheimer's Disease (LOAD). Classification models identifying LOAD with statistically significant accuracy are identified, and ensemble-based important features analysis is used to identify brain genes related to LOAD, most notably the solute carrier gene SLC6A15. Ensemble analysis is used to identify potentially significant interactions between genes in the context of LOAD.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"56 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":"124169539","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: 26
Global asymptotic stability of stochastic neural networks with distributed and time-varying delays 具有分布时变时滞的随机神经网络的全局渐近稳定性
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250745
W. Feng, Wei Zhang, Haixia Wu, Jun Peng
{"title":"Global asymptotic stability of stochastic neural networks with distributed and time-varying delays","authors":"W. Feng, Wei Zhang, Haixia Wu, Jun Peng","doi":"10.1109/COGINF.2009.5250745","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250745","url":null,"abstract":"This paper is concerned with the asymptotic stability analysis problem for stochastic neural networks with distributed and time-varying delays. By using the stochastic analysis approach, employing some free-weighting matrices and introducing an appropriate type of Lyapunov functional which take into account the ranges of delays, a new stability criterion is established in terms of linear matrix inequalities (LMIs) to guarantee the delayed neural networks to be robustly asymptotically stable in the mean square. And the new criterion is applicable to both fast and slow time-varying delays. One numerical example has been used to demonstrate the usefulness of the main results.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 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":"129382815","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
Labeling-based knowledge construction for real-world event understanding 面向现实世界事件理解的基于标注的知识构建
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250792
Koji Kamei, Y. Yanagisawa, T. Maekawa, Y. Kishino, Yasushi Sakurai, T. Okadome
{"title":"Labeling-based knowledge construction for real-world event understanding","authors":"Koji Kamei, Y. Yanagisawa, T. Maekawa, Y. Kishino, Yasushi Sakurai, T. Okadome","doi":"10.1109/COGINF.2009.5250792","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250792","url":null,"abstract":"A sensor networked environment is capable of observing real-world phenomena as sensor readings, however, there are difficulties in understanding real-world ‘events’ such as activities of daily life occurring in the environment. We propose an incremental model for constructing real-world knowledge to allow us to understand real-world events. The central plank of the proposed model is the labeling practice. In the model, both the ontology of real-world events and the implementation of a sensor system are simultaneously improved based on a manually labeled event corpus. A labeling tool is developed in accordance with the model and event vocabularies are evaluated in a practical labeling experiment.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"65 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":"129389876","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
Some implication operators on interval sets and rough sets 区间集和粗糙集上的一些蕴涵算子
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250719
Yongquan Wang, Xiao-hong Zhang
{"title":"Some implication operators on interval sets and rough sets","authors":"Yongquan Wang, Xiao-hong Zhang","doi":"10.1109/COGINF.2009.5250719","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250719","url":null,"abstract":"Two implication operators on interval sets are discussed, related structure theorems are proved. As a generalization of these results, two implication operators on rough sets are established. Moreover, a characterization of HW-algebra is proposed and a mistake in a paper is pointed out.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"20 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":"132504376","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: 8
Missing values imputation hypothesis: An experimental evaluation 缺失值归算假说:一个实验评估
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250727
Huaxiong Li, Xianzhong Zhou, Yiyu Yao
{"title":"Missing values imputation hypothesis: An experimental evaluation","authors":"Huaxiong Li, Xianzhong Zhou, Yiyu Yao","doi":"10.1109/COGINF.2009.5250727","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250727","url":null,"abstract":"Missing values imputation is a basic strategy to deal with incomplete data. Many developed methods treat filled-in values as if they are original data. The correctness of such hypothesis has not been widely studied. In this paper, a philosophical and experimental study on the hypothesis of missing values imputation is discussed. In the experiments, classification accuracy of three learning algorithms with regard to six incomplete data sets are compared, which indicates that missing values imputation may not always help to improve the learning performance. Learning directly from incomplete data without imputation may reach a satisfying performance. The study not only provides an experimental analysis on missing values imputation, but also presents a new view on rule induction from incomplete data, which is much different from previous standpoint.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 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":"130309463","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
Rough K-medoids clustering using GAs 基于GAs的粗糙k -介质聚类
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250720
P. Lingras
{"title":"Rough K-medoids clustering using GAs","authors":"P. Lingras","doi":"10.1109/COGINF.2009.5250720","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250720","url":null,"abstract":"This paper proposes a medoid based variation of rough K-means algorithm. The variation can be especially useful for a more efficient evolutionary implementation of rough clustering. Experimentation with the rough K-means algorithm has shown that it provides a reasonable set of lower and upper bounds for a given dataset. However, rough K-means algorithm has not been explicitly shown to provide optimal rough clustering. Recently, an evolutionary rough K-means algorithm was proposed that minimizes a rough within-group-error. The proposal combined the efficiency of rough K-means algorithm with the optimization ability of GAs. The medoid based variation proposed here is more efficient than the evolutionary rough K-means algorithm, as it uses a smaller and discrete search space. It will also make it possible to test a wider variety of optimization criteria due to built in restrictions on the solution space.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"10 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":"132253101","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
An attribute reduction approach and its accelerated version for hybrid data 混合数据的属性约简方法及其加速版本
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250768
Wei Wei, Jiye Liang, Y. Qian, Feng Wang
{"title":"An attribute reduction approach and its accelerated version for hybrid data","authors":"Wei Wei, Jiye Liang, Y. Qian, Feng Wang","doi":"10.1109/COGINF.2009.5250768","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250768","url":null,"abstract":"In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measure is proposed for computing the discernibility power of a categorical or numeric attribute. Based on the measure, a uniform definition of significance of attributes with categorical values and numerical values is proposed. Furthermore, an algorithm to obtain an attribute reduct from hybrid data is presented, and one of its accelerated version is also constructed. Experiments show that these two algorithms can get the same reducts, and the classification accuracies of reduced datasets are similar with the ones using Hu's algorithm. However, the accelerated version consumes much less time than the original one and Hu's algorithm do.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 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":"127372674","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: 8
The BP neural networks applications in bank credit risk management system BP神经网络在银行信用风险管理系统中的应用
2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250682
Shu-Fang Zhao, Li-chao Chen
{"title":"The BP neural networks applications in bank credit risk management system","authors":"Shu-Fang Zhao, Li-chao Chen","doi":"10.1109/COGINF.2009.5250682","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250682","url":null,"abstract":"Credit risk management, which is the basic of the credit application, is the most perfect embodiment in the bank credit application and asset supervision. The ultimate purpose of credit risk management is to ensure that credit fund is of safety, profitability and fluidity. At present, it is extremely important of commercial banks to set up an early bank risk warning system. The author who makes great effort on the credit risk and its reason, besides bringing in the western commercial banks experience of bank credit risk management, makes researches on credit risk in a microcosmic view. The author sets up early warning indicators for commercial bank credit risk, and carries out the warning for the credit risk in advance with the help of artificial neural networks. The experiment has proved that this method is objective and effective. So it can provide theoretical basis, which is more scientific and credible for detection and early warning about commercial bank credit risk.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"48 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":"127585197","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: 6
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