Browsing Computer science and systems (Tacoma) by Subject "nonlinear data"
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Investigation of Extending Feature Selection Algorithms to Explicit Feature Selection in Kernel Space Feature selection methods play important roles in the area of machine learning. Being a part of prepossessing, the technology of feature selection can select useful information from raw data. A good feature selection method ...