School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
Support vector machine; Sequential minimal optimization; Structural risk minimization;
机译:一种改进的基于支持向量机应用Rational样本数据选择和遗传算法控制训练参数优化的QSPR方法
机译:“基于线性规划和分解方法训练大规模支持向量机进行回归的算法”的更正
机译:基于线性规划和分解方法的大规模支持向量机回归训练算法
机译:一种新的支持向量机算法,可缩放惩罚系数训练样本
机译:训练大规模线性规划的算法支持向量回归和分类。
机译:支持向量机受进化算法训练采用核Adatron进行蛋白质结构的大规模分类
机译:训练大型半参数支持向量机的分解算法