搜索资源列表
elatic_net
- elastic net variety selection matlab daima
glmnet_matlab
- Lasso算法源代码,stanford开发的,绝对可靠-Glmnet for Matlab- Lasso (L1) and elastic-net regularized generalized linear models
AHEasing
- 实现动画中的缓动函数（easing function）。Easing function（http://easings.net/）就是让物体的运动过程遵循某类数学公式，即定好起点和终点，物体在这个移动过程中，按照某个线性或者非线性的速度来进行移动，这样会让物体的运动看起来更加真实、更加符合真实世界的物理规律。AHEasing支持的移动模式包括：Linear，Quadratic，Cubic，Quartic，Quintic，Sine，Circular，Elastic，Back，Bounce。-To
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
回归算法
- matlab实现各种经典回归算法，如最小二乘，ridge，lasso，elastic net等等，以及各种回归算法应用实例。(Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.)