机译:一种新颖的稀疏最小二乘支持向量机
School of Mechanical and Electrical Engineering, Jiaxing University, Jiaxing 314001, China;
School of Mechanical and Electrical Engineering, Jiaxing University, Jiaxing 314001, China,School of Engineering, Zhejiang Normal University, Jinhua 321004, China;
School of Electronics, Electrical Engineering and Computer Science, Queen's University of Belfast, Belfast BT9 5AH, UK;
School of Electronics, Electrical Engineering and Computer Science, Queen's University of Belfast, Belfast BT9 5AH, UK;
机译:混合稀疏最小二乘和最小二乘支持向量机模型的激光诱导击穿光谱法提高铁矿石分析的准确性
机译:基于GlobalRepresentative点排名的自适应修剪最小二乘支持向量回归机的稀疏算法
机译:量子增强型最小二乘支持向量机:简化量子算法和稀疏解决方案
机译:一种稀疏最小二乘支持向量机用于SOC估计锂离子电池
机译:基于贝叶斯最小二乘支持向量机的框架,用于故障诊断和故障预测。
机译:ATR-IR的偏最小二乘-最小二乘-支持向量机建模用于分光光度法检测和测定药物制剂中的铁
机译:校正:使用激光诱导的击穿光谱法利用具有混合稀疏部分最小二乘和最小二乘支持向量机模型的铁矿石分析的准确性改进
机译:支持向量机的稀疏性 - 一些渐近尖锐的界限