搜索资源列表
nonlinear regression routines
- VB写的非线性回归源程序-VB write nonlinear regression source
REGRESSION
- 逐步回归算法，比起一般线性回归的速度要快。而且因子是逐步选择的。-stepwise regression algorithm, compared to the general linear regression faster pace. But factor is gradually choice.
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
BNL.zip
- The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be
stepwise.rar
- 这是一个关于逐步回归求多元线性回归的一个VC例程,It is a stepwise regression for multiple linear regression routine of a VC
PLSUVECV.rar
- PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability
mllr
- 语音识别最大似然线性回归（MLLR）算法-Speech recognition maximum likelihood linear regression (MLLR) algorithm
prediction-GRNN
- GRNN的数据预测-基于广义回归神经网络货运量预测-The data prediction GRNN- Generalized regression neural network based on volume forecast
SVM-KM
- svm详细例子（包括分类，回归）等。需要的人，下载试试。多交流.我需要svm-smo的matlab源码。谁有？-SVM detailed examples (including classification, regression) and so on. Those who need it, download a try. More exchanges. Svm-smo I need the matlab source code. Who?
duoyuan
- 多元线性回归模型，结合主成分分析原理，完美的运用matlab编程-Multiple linear regression model, combined with principal component analysis theory, the perfect use of matlab programming! !
空间插值方法汇总
- Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法） Minimum Curvature（最小曲率） Modified Shepard s Method（改进谢别德法） Natural Neighbor（自然邻点插值法） Nearest Neighbor（最近邻点插值法） Polynomial Regression（多元回归法） Radial Basis Function（径向基
CART
- 这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
Linear Regression _ Multivar
- Linear regression with multi variable, Credit: Andrew Ng
Regression
- regression model matlab programming language
Logistic Regression
- Logistic Regression - a Classification method using the mnist DB, with sigmoid function and gradient ascent for optimization
regression
- 回归算法的源码、范例与数据集(确定已安装python，下载后直接执行即可)。(Source code, sample and dataset of regression)
regression
- r语言做regression,选择取log的形式(The R language for regression, choosing the form of log)
Logistic Regression
- 通过训练样本使用对数几率回归模型建模，并对测试样本类别进行预测(The training samples are modeled by log likelihood regression model, and then predicts the categories of test samples.)
regression-fitting
- 数据回归分析包括一元线性回归，一元非线性回归，多元线性及广义线性回归，多元非线性回归(Data regression analysis including a yuan linear regression, a yuan of nonlinear regression, multiple linear and generalized linear regression and multivariate nonlinear regression)
Deep-Belief-Network-for-Regression-master
- 利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)