搜索资源列表
K_smooth
- The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging
NonparametricandSemiparametricModels
- eBook Nonparametric and Semiparametric Models
Statistics-ROC-0.04.tar
- A Perl module implementing receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
classeroverlook
- we shall examine nonparametric procedures that can be used with arbitrary distributions and without the assumption that the forms of theunderlying densities are known.
12_15_cvcodes-mulitivariate-nonparametric-regressi
- rt如题目说是，就是他的一个多元计算的案例的一套程序-topics such as rt said yes, he is a multi-case calculation of a set of procedures
segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of
K_smooth
- The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging
NonparametricandSemiparametricModels
- eBook Nonparametric and Semiparametric Models
Statistics-ROC-0.04.tar
- A Perl module implementing receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
bg_subt_code
- Nonparametric Background subtraction classes非参数视频背景建模的一个类,该方法是目前背景建模中最好的方法之一-Nonparametric Background subtraction classes video background of non-parametric modeling of a class that the method is modeling in the present
Eubank(1999)NonparametricRegressionandSplineSmoot
- Author:Eubank year:(1999)Name:Nonparametric Regression and Spline Smoothing second edition
mathematicalstatistics
- "This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides concepts and results in measure-theoretic probabi
bartlett
- Bartlett power spectrum estimation (Nonparametric methods for power spectrum estimation)
kde
- Kernel Density Estimation (Set of tools for nonparametric (kernel) density estimation)
problem2
- It helps to test in nonparametric situation by run test and to check measure of association
Histogram-model-based-on-nonparametric-robust-spea
- 基于非参数直方图模型的鲁棒说话人识别算法-Histogram model based on nonparametric robust speaker recognition
Nonparametric-econometrics
- 简洁明了的介绍了非参计量经济学和半参计量经济学的原理和方法，是很好的非参计量经济学入门教程-Concise descr iption of the non-parametric and semi-parametric econometric theory and econometric methods, is a good introductory tutorial nonparametric econometrics
A-nonparametric-variable-step-size-NLMS-algorithm
- A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is obtained by exploiting a time-varying step size in the traditional NLMS weight update equation. The step size is adjusted accord
nonparametric-background-generation
- 背景建模-非参数背景生成，应用于运动目标检测-Background modeling- nonparametric background generation, used in moving object detection
mdpmrf
- Nonparametric Bayesian Image Segmentation