Scalable feature selection using ReliefF aided by locality‐sensitive hashing
نویسندگان
چکیده
منابع مشابه
ReliefF-based Multi-label Feature Selection
In recent years, multi-label learning has been used to deal with data attributed to multiple labels simultaneously and has been increasingly applied to various applications. As many other machine learning tasks, multi-label learning also suffers from the curse of dimensionality; so extracting good features using multiple labels of the datasets becomes an important step prior to classification. ...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Systems
سال: 2021
ISSN: 0884-8173,1098-111X
DOI: 10.1002/int.22546