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Learning On The Border:Active Learning in Imbalanced classification Data

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萍華 楊
萍華 楊
Economy & FinanceEducation
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Learning on the Border: Active Learning in Imbalanced Data Classification SeyDa, Jian Hungm Leon Bottou, C. Lee Giles,CIKM’07 Presenter: Ping-Hua Yang
Abstract ,[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object]
Related work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Related work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object]
Methodology
Support Vector Machines ,[object Object],[object Object],[object Object],[object Object]
Support Vector Machines ,[object Object],[object Object],[object Object]
Support Vector Machines
Active Learning ,[object Object],[object Object],[object Object],[object Object],[object Object]
Active Learning with Small Pools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Active Learning with Small Pools ,[object Object],[object Object],[object Object]
Active Learning with Small Pools
Online SVM for Active Learning ,[object Object],[object Object],[object Object],[object Object],[object Object]
Active Learning with Early Stopping ,[object Object],[object Object],[object Object],[object Object]
Active Learning with Early Stopping
Performance Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Performance Matrix ,[object Object],[object Object],[object Object],[object Object],[object Object]
Datasets
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Experiments and Empirical evaluation
Conclusions ,[object Object],[object Object]

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