自适应双正则化支持向量机的解路算法
자괄응쌍정칙화지지향량궤적해로산법
Solution Path Algorithm for the Doubly Regularized Support Vector Machine
  • 万方数据
    信阳师范学院学报（自然科学版） 신양사범학원학보（자연과학판）
    JOURNAL OF XINYANG NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
    2014年 2期 288-291 ,共4页

    穆晓霞%陈留院

    목효하%진류원

    支持向量机%正则化%解路算法 支持嚮量機%正則化%解路算法
    지지향량궤%정칙화%해로산법
    support vector machine%regularization%solution path algorithm
    针对自适应双正则化支持向量机，证明了其最优解关于单正则化参数是分段线性的，并据此提出了完全正则化解路算法，最后，通过在急性白血病数据集上进行分类实验，验证了所提算法的有效性。
    침대자괄응쌍정칙화지지향량궤，증명료기최우해관우단정칙화삼수시분단선성적，병거차제출료완전정칙화해로산법，최후，통과재급성백혈병수거집상진행분류실험，험증료소제산법적유효성。
    For the adaptive doubly regularized support vector machine, it was proved that its solution path is piece-wise linear with respect to one regularized parameter when another parameter is fixed. Based on this result, an entire regularized solving path algorithm was proposed. The experiment results on the binary classification of acute leukemia demonstrated the effectiveness of the proposed algorithm.
    원문보기 원문다운로드 사이트로이동
저자의 최근 논문