Reinforced Data Sampling for Model Diversification

12 Jun 2020Hoang D. NguyenXuan-Son VuQuoc-Tuan TruongDuc-Trong Le

With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamentally suffer from evidence ambiguity and concept drift issues, thereby possibly leading to deleterious effects on the performance of various models... (read more)

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