搜索资源列表
lwpr
- Another Locally weighted regression
lwpr.rar
- 局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。,Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel
Linear_regression
- Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dic
LWPR-PLS
- 局部加权映射回归算法的数值算例例程，帮助了解lwpr算法-algorithm for lwpr
lwpr
- LWPR 局部加权投影回归算法，是一种高效的数据降维方法，也能用于预测方法研究。 -LWPR is an effective dimensionality reduction approach. It can be used for prediction.
python
- 机器学习的一种算法————局部加权投影回归（LWPR）Python程序(An algorithm for machine learning -- the local weighted projection regression (LWPR) Python program)