vever meaning in Chinese

韦威尔
韦韦尔

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
但它是二值分类器，不适用于多值分类场合及处理海量数据。粗集理论则具有处理和约简大数据量的优势，但分类精度不如svm方法。本文利用粗集理论对数据进行预分类，在此基础上提出两种二值分类数据组合方法，然后，再利用svm两两分类。