A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity

20 May 2020Zixiao ShenXin ChenJonathan M. Garibaldi

This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity. The proposed method aims to recommend the best FS method from four candidate FS methods for any given dataset... (read more)

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