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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)最新文献

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Support vector machine and generalized regression neural network based classification fusion models for cancer diagnosis 基于支持向量机和广义回归神经网络的癌症诊断分类融合模型
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.88
M. Sehgal, I. Gondal, L. Dooley
{"title":"Support vector machine and generalized regression neural network based classification fusion models for cancer diagnosis","authors":"M. Sehgal, I. Gondal, L. Dooley","doi":"10.1109/ICHIS.2004.88","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.88","url":null,"abstract":"This paper presents decision-based fusion models to classify BRCA1, BRCA2 and Sporadic genetic mutations for breast and ovarian cancer. Different ensembles of base classifiers using the stacked generalization technique have been proposed including support vector machines (SVM) with linear, polynomial and radial base function kernels. A generalized regression neural network (GRNN) is then applied to predict the mutation type based on the outputs of base classifiers, and experimental results show that the new proposed fusion methodology for selecting the best and removing weak classifiers outperforms single classification models.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129734813","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
A hybrid approach for a constrained routing problem 约束路由问题的一种混合方法
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.4
Jesús Fabián López Pérez
{"title":"A hybrid approach for a constrained routing problem","authors":"Jesús Fabián López Pérez","doi":"10.1109/ICHIS.2004.4","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.4","url":null,"abstract":"Regarding the solution of combinatorics problems, is important to evaluate the cost and the benefit among obtaining solutions of high quality in detriment of the computational resources required. The problem presented is about the routing of a vehicle with pickup and delivery of product with time window constraints. This problem requires to be attended with instances of great scale (nodes/spl ges/100). We have a large quantity of nodes with restrictions of time windows (/spl ges/90%) and with a large factor of amplitude (/spl ges/75%) as well. The problem is NP-hard and for such motive the application of an exact method of solution to resolve it, is limited by the practical time for routing. This paper proposes a specialized genetic algorithm, which offers solutions of good quality in computational times that do useful its application.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127416270","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
Integrative early requirements analysis for agent-based systems 基于代理的系统的集成早期需求分析
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.63
Longbing Cao, Chengqi Zhang, D. Luo, Wanli Chen, N. Zamani
{"title":"Integrative early requirements analysis for agent-based systems","authors":"Longbing Cao, Chengqi Zhang, D. Luo, Wanli Chen, N. Zamani","doi":"10.1109/ICHIS.2004.63","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.63","url":null,"abstract":"Early requirements analysis (ERA) is quite significant for building agent-based systems. Goal-oriented requirements analysis is promising for the agent-oriented early requirements analysis. In general, either visual modeling or formal specifications is used for the ERA. This way cannot capture requirements precisely and completely. We present an integrative modeling framework for agent-oriented early requirements analysis; this framework implements goal-oriented requirement analysis. The integrative modeling combines visual modeling and formal modeling together. Extended i* framework is used for building visual models; formal specifications complement the visual modeling to define and refine requirements. Both visual and formal models are outlined through a practical agent-based system F-TRADE. The integrative modelling seems to model early requirements comprehensively and concretely, and benefit refinement and conflict management in building agent systems.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133259975","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
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