vever 中文意思是什麼
vever
解釋
韋威爾-
As a currency learning techniques introduced recent years, svms which handle small sample size problem have the features of good generalization ability, solid theoretical background, high accuracy, and getting global optimization. ho vever, it is a classifier for two - class originally and not suite for the multi - class problems and dealing with large data sets. on the other hand, rst has the features of handling and reducing large data sets while has lower classification accuracy than svms. in this paper, the data are classified in advance with the rst, and two methods of combination of the data to classify two - class problems are proposed
但它是二值分類器，不適用於多值分類場合及處理海量數據。粗集理論則具有處理和約簡大數據量的優勢，但分類精度不如svm方法。本文利用粗集理論對數據進行預分類，在此基礎上提出兩種二值分類數據組合方法，然後，再利用svm兩兩分類。
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