// copyright by Peter Huber, Singapore, 2006
// this code is provided as is, bugs are probable, free for any use at own risk, no
// responsibility accepted. All rights, title and interest in and to the accompanying content retained. :-)
Description: 基于M估计的迭代最小二乘算法,其中估计量有Huber,Andrews,Hampel,Ramsay等。-M is estimated based on the iterative least-squares algorithm, which estimates there are Huber, Andrews, Hampel, Ramsay and so on. Platform: |
Size: 3072 |
Author:徐林林 |
Hits:
Description: 用改进的Huber函数,修改了现有的递归最小二乘(RLS)算法的误差函数-With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function Platform: |
Size: 2048 |
Author:luochao |
Hits:
Description: huber方法计算矿体的三维变异函数,matlab语言,程序运用了迭代方法-huber calculated ore body three-dimensional variogram, matlab language, the program using the iterative method Platform: |
Size: 1024 |
Author:宋彩虹 |
Hits:
Description: 多帧图像超分辨率重建,里面有huber 马尔科夫,ML超分辨率重建,对学习超分辨率很有帮助。-Multi-frame image super-resolution reconstruction, which has the the huber Markov, ML super-resolution reconstruction is helpful in learning the super-resolution. Platform: |
Size: 507904 |
Author:顾盼中 |
Hits:
Description: DIFFLOW.M Concurrent Flow model
This script models the flow of material from a "source" stream to a
"sink" stream which are separated by a semi-permeable membrane.
In the concurrent flow case, these two streams are traveling in
the same direction, and in the countercurrent case, they
are traveling in opposite direction.
Tom Huber, July 1997
- DIFFLOW.M Concurrent Flow model
This script models the flow of material from a "source" stream to a
"sink" stream which are separated by a semi-permeable membrane.
In the concurrent flow case, these two streams are traveling in
the same direction, and in the countercurrent case, they
are traveling in opposite direction.
Tom Huber, July 1997
Platform: |
Size: 1024 |
Author:larasmoyo |
Hits:
Description: 关于鲁棒估计的C#源程序,有三种经典方法:M估计的IGGI方案,Hampel函数做标准等价权以及Huber稳健估计-The Robust Estimation written in C# There are three classical methods: M estimates IGGI program, Hampel function equivalent weights and the standard Huber robust estimation Platform: |
Size: 204800 |
Author:李萱妍 |
Hits:
Description: epsilon-huber支持向量回归逐步推导以及详细证明,对深入理解SVR以及后续的代码编写过程有帮助。-epsilon-huber SVR gradual derivation and detailed proof of the SVR-depth understanding of the process and the subsequent coding help. Platform: |
Size: 112640 |
Author:夏沐 |
Hits:
Description: 这是一个关于GP-ADF和GP-RTSS的工具箱,主要基于“Robust Filtering and Smoothing with Gaussian Processes这篇文章-This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes
in IEEE Transactions on Automatic Control (2012)
The software package also contains implementations of the following filters/smoothers:
- GP-ADF/GP-RTSS
- Gibbs-filter/Gibbs-RTSS [Deisenroth and Ohlsson, ACC 2011]
- EKF/EKS
- UKF/URTSS
- CKF/CKS
We provide a demo script:
demo_gprtss.m
The code requires MatlabR2007a or newer.
(C) Copyright 2012 by Marc Deisenroth
Permission is granted for anyone to copy, use, or modify this
software and accompanying documents for any uncommercial
purposes, provided this copyright notice is retained, and note is
made of any changes that have been made. This software and
documents are distributed without any warranty.
I d appreciate any feedback on the code (useful, buggy, ine Platform: |
Size: 32768 |
Author:李 |
Hits:
Description: LMNN算法源码及UCI数据集测试,本人研究生科研学习代码。-the classification of enterprise’s public opinions the extraction of text feature LMNN algorithm Huber loss function. Platform: |
Size: 6367232 |
Author:zhuqian |
Hits:
Description: 机器学习ADMM Huber损失最小化1范式约束算法Sparse Huber With L1 Constrain And Alternating Direction Method of Multipliers Method-Sparse Huber With L1 Constrain And Alternating Direction Method of Multipliers Method Platform: |
Size: 1024 |
Author:Allen |
Hits:
Description: Huber损失最小化学习和高斯核模型 的Huber损失最小化,竞赛用到过,效果不错(Huber loss minimization learning and Gauss kernel model Huber loss minimization, the competition used, the effect is good) Platform: |
Size: 25600 |
Author:职场加油
|
Hits:
Description: 包含基于Huber函数和最大相关熵的抗差滤波算法,以及与卡尔曼滤波算法的对比,用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gaussian distribution data generation function is also included in the main function.) Platform: |
Size: 585728 |
Author:殷利建 |
Hits: