START_DevelopmentandOptimizationofMachineLearning_April2016
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: START_DevelopmentandOptimizationofMachineLearning_April2016
START_DevelopmentandOptimizationofMachineLearning_April2016
Development and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016ience and Technology Directorate, U.S. Department of Homeland Security42461National Consortium for the Study of Terrorism and Responses to Terrorism A Deoartment of Homeland Security Science and Technology Center of Excellence Led by the University of Mary landS400 Baltimore Ave.. Suite 250 ‘College START_DevelopmentandOptimizationofMachineLearning_April2016 Park.MD 20742 • 301.405.6000 www.start.umd.eduSTARTSNational Consortium for the Study of Terrorism and Responses to TerrorismA Department of HomelandSTART_DevelopmentandOptimizationofMachineLearning_April2016
Security Science and Technology Center of ExcellenceAbout This ReportThe authors of this report are Prabhakar Misra, Raul Garcia-Sanchez and Daniel CDevelopment and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016his research was supported by the Department of Homeland Security Science and Technology Directorate’s Office of University Programs through Award Number DHS50000, through the DHS Research Team Follow-On Funding Program for Minority Serving Institutions. The views and conclusions contained in this d START_DevelopmentandOptimizationofMachineLearning_April2016ocument are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of theSTART_DevelopmentandOptimizationofMachineLearning_April2016
U.S. Department of Homeland Security or START.About STARTThe National Consortium for the Study of Terrorism and Responses to Terrorism (START) is suppDevelopment and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016University of Maryland. START uses state-of-the-art theories, methods and data from the social and behavioral sciences to Improve understanding of the origins, dynamics and social and psychological impacts of terrorism. For more information, contact START at infostart@start.umd.edu or visit \v\vyy^t START_DevelopmentandOptimizationofMachineLearning_April2016art,umd.edu.CitationsTo cite this report, please use this format:Prabhakar Mlsra, Raul Garcia-Sanchez and Daniel Casimir. "Development and OptimizatioSTART_DevelopmentandOptimizationofMachineLearning_April2016
n of Machine Learning Algorithms and Models of Relevance to START Databases," Report to the office of University Programs, Science and Technology DireDevelopment and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016 Relevance to START DataoasesSTART**National Consortium for the Study of Terrorism and Responses to Terrorism4 Department of Homeland Security Science and Technology Center of ExcellenceCONTENTSGeneral Overview.................................................................................1Key Part START_DevelopmentandOptimizationofMachineLearning_April2016nerships...............................................................................1Activities....................................................START_DevelopmentandOptimizationofMachineLearning_April2016
.................................2Pattern Recognition and Missing Data Methodology.................................................2Expansion to otherDevelopment and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016.......................2Global Terrorism Database (GTD) UpdatedResults..............................................4Profiles of Incidents Involving CBRN Use by Non-statc Actors (POICN) Results.................5Profiles of Individual Radicalization in the United Stales (PIRƯS) Results............... START_DevelopmentandOptimizationofMachineLearning_April2016....6Improving Pattern Recognition I Missing Data...................................................8Results..........................................START_DevelopmentandOptimizationofMachineLearning_April2016
..............................................9Logical Regression and Neural Networks Comparison Studies.......................................10GoalsDevelopment and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, Sci START_DevelopmentandOptimizationofMachineLearning_April2016...................................14Technical Assistance Needs....................................................................14Additional Information........................................................................14 START_DevelopmentandOptimizationofMachineLearning_April2016Development and Optimization of Machine Learning Algorithms and Models of Relevance to START DatabasesReport to the Office of University Programs, SciGọi ngay
Chat zalo
Facebook