支持向量机在模式识别和回归模型中的应用.pdfVIP

第 35 卷 第 4 期 河 南科 技 学 院学 报 ( 然科学版) 2007年 12月 V o.l 35 No. 4 Journal of H enan Ins i u e o f Sc ience and T echno logy D ec. 2007 刘解放, 侯振雨, 吴 亮 (, 4 53003) : , , , , , : 机器学习; 统计学习理论; 支持向量机; 模式识别 : TP391 : A : 167 36060( 2007) The Application of Support VectorM achines in Pattern Regcognition and RegressionM odels L IU Jiefang, et a l ( H enan Ins i u e o f Science and T echno logy, X inx iang 453003, China) Abstract: Suppo r V ec or M ach ines( SVM ) are a new k ind o f nove lm ach ine learn ing m e hods, based on s a is ica l learn ing heory, w h ich have becom e he ho spo o f m ach ine learning becau se of he ir ex cellen learn ing perform ance. The m e hod o f suppor vec o r m ach ines has been developed for so lv ing class ifica ionand reg ression prob lem s. In h is paper, he m a hem a i ca l founda ion o f SVM and he s a us in quo a re in roduced, and severa l applied algor ihm s are presen ed. Som e lmi i a ions and fu ure research issues are a lso discussed. K ey words: machine learn ing; s a is ica l learn ing heo ry; suppor v ec or m ach ines; pa ern regcogn i ion , , SLT ) , , , , , SVM , , [ 4~ 7] , , , , , , SVM SVM 20 60 , V. N. V apn ik 1 支持向量机的统计学习理论基础 1963,