机译:交替优化的最优局部正则化最小二乘支持向量机
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, People's Republic of China,School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang 212013, People's Republic of China;
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, People's Republic of China;
School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang 212013, People's Republic of China;
structural risk minimization; locality preserving criterion; support vector machine; least squares classifier;
机译:基于正规化的极端学习机的研磨过程自适应混合软传感器模型及最小二乘支持向量机优化Golden Sine Harris Hawk优化算法
机译:混合两阶段元启发式优化模型与加权最小二乘支持向量机求解双拱坝的最佳形状
机译:药物设计QSAR中的遗传算法优化:贝叶斯规则遗传神经网络(BRGNN)和遗传算法优化的支持向量机(GA-SVM)
机译:通过探索局部相关性和全局正则化来实现局部敏感的支持向量机
机译:支持向量机的参数优化中的外在正则化。
机译:基于最小二乘支持向量机的混沌粒子群优化的MEMS陀螺随机漂移建模与补偿
机译:基于正规化的极端学习机的研磨过程自适应混合软传感器模型及最小二乘支持向量机优化Golden Sine Harris Hawk优化算法