{"title":"情景评估的概率推理技术","authors":"Catherine Howard, M. Stumptner","doi":"10.1109/ICITA.2005.219","DOIUrl":null,"url":null,"abstract":"This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Probabilistic reasoning techniques for situation assessments\",\"authors\":\"Catherine Howard, M. Stumptner\",\"doi\":\"10.1109/ICITA.2005.219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.\",\"PeriodicalId\":371528,\"journal\":{\"name\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITA.2005.219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probabilistic reasoning techniques for situation assessments
This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.
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