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What is Feature Selection for High-Dimensional Data about?

This presentation discusses using correlation-based ensemble feature selection methods to improve machine learning on high-dimensional datasets. It aims to increase classifier performance and stability by selecting relevant features. The presentation outlines related work on ensemble feature selection techniques. It proposes using correlation-based aggregation and hybrid ensemble construction methods. The objectives are improving accuracy, reducing overfitting, enabling faster training, and interpreting mod

Author

minichel

Language

EN