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ai-se / ML-assisted-SLR

Automated Systematic Literature Review

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Miwa2014 #59

Open azhe825 opened 7 years ago

azhe825 commented 7 years ago

Evaluation: Utility, Coverage, and AUC

Core:

Sampling: certainty, uncertainty
Data balancing: weighting, aggressive undersampling, no balancing
Assumes: stop training at some point of time, has initial seed training set

Conclusion: certainty+weighting

Enhancements:

Ensemble classifiers: voting, PAL
Covariate shift: two-stage approximation method
Clustering before classification: LDA

Conclusion: LDA is promising