Concept drift on SVM incremental learning and its disposals
Quan Wen · Jisuanji gongcheng yu sheji · 2008
Support vector machine reveals its own advantages in many applications for its inherent characteristics and becomes an attractive research area these years.The standard algorithm of support vector machine cannot support incremental learning,therefore,researches on the method of effective incremental learning are of theoretical and practical important.The problem of learning on moving target in incremental learning is discussed.After giving the definition of static target learning and moving target learning,the problem of concept drift for learning on moving target is proposed,and the expression of concept drift for SVM-based incremental learning is given.The approaches of SVM-based incremental learning are discussed and analyzed,and the conclusions are given after analyzing the current approaches of disposing the concept drift on SVM-based incremental learning.