Learning from Imbalanced Data Sets
Contents
Machine Learning from Imbalanced Data Sets 101
PDFOpen Mind Animals: Insuring the Quality of Data Openly Contributed over the World Wide Web
PDFLearning from Imbalanced Data Sets: A Comparison of Various Strategies
PDFCorrelates of State Failure
PDFMeasuring Performance when Positives are Rare
PDFFeature Scaling in Support Vector Data Descriptions
PDFUsing Autoencoding Networks for Tramp Metal Detection
PDFA Recognition-Based Alternative to Discrimination-Based Multi-Layer Perceptrons
PDFExploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
PDFWhen Does Imbalanced Data Require more than Cost-Sensitive Learning?
PDFLearning from Imbalanced Data: Rank Metrics and Extra Tasks
PDFHandling Imbalanced Data Sets in Insurance Risk Modeling
PDFLearning to Predict Extremely Rare Events
PDFAn Approach to Imbalanced Data Sets Based on Changing Rule Strength
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