机译:基于映射方法的高效自适应回归样条算法与金融案例研究
Department of Statistics, Operations and Management Science, The University of Tennessee, Knoxville, TN, USA;
Department of Industrial Engineering, Middle East Technical University, Ankara, Turkey;
Department of Statistics, Middle East Technical University, Ankara, Turkey;
Institute of Applied Mathematics, Middle East Technical University, Ankara, Turkey;
Regression splines; Optimization; Multivariate adaptive regression splines (MARS); CMARS; Self organizing maps; Data mining; Interest rate estimation;
机译:用逻辑回归,多种自适应回归样条,分类和回归树以及最大熵方法绘制滑坡敏感性图:一项比较研究
机译:基于GIS的多元自适应回归样条和随机森林模型用于伊朗地下水位图
机译:基于多元自适应回归样条的蒙特卡洛模拟有效的土质边坡系统可靠性分析
机译:基于多元自适应回归样条的逆心电图求解方法中几何误差的影响
机译:多元自适应回归样条(MARS)的变体:凸与非凸,分段线性与平滑和顺序算法。
机译:改组多元自适应回归样条和自适应神经模糊推理系统作为SARS抑制剂QSAR研究的工具
机译:基于多元自适应回归样条的蒙特卡洛模拟有效的土质边坡系统可靠性分析
机译:G / spLINEs:弗里德曼多元自适应回归样条(maRs)算法与Holland遗传算法的混合