Kernel density estimation based sampling for imbalanced class distribution

Firuz Kamalov

doi:10.1016/j.ins.2019.10.017

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Kernel density estimation based sampling for imbalanced class distribution

Firuz Kamalov

Year: 2019 Journal: Information Sciences Vol: 512 Pages: 1192-1201 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2019.10.017

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Keywords:

Overfitting Kernel density estimation Computer science Resampling Artificial intelligence Benchmark (surveying) Kernel (algebra) Machine learning Sampling distribution Class (philosophy) Range (aeronautics) Nonparametric statistics Sampling (signal processing) Statistics Data mining Pattern recognition (psychology) Mathematics Artificial neural network

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Kernel density estimation based sampling for imbalanced class distribution

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