Abstract: Data is generally represented by high dimensional feature vectors in many areas, such as pattern recognition, data mining and machine learning ... In this work supervised feature selection ...

If we can integrate the discrimination of LDA and the advantages of feature selection, it is bound to play an important role in the classification of high-dimensional data. Motivated by the idea, we ...

which involves selecting data samples using quality rating scores generated by LLMs. For convenience, the 50k used samples can be accessed from Huggingface via the link. Our selected evaluation and ...