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Description: Windrow-Hoff学习算法的源程序，实现ADALINE机器的自适应学习，功能用于字符识别，完全界面显示。-Windrow-Hoff learning algorithm source, the realization ADALINE machines adaptive learning, for character recognition function, the interface shows entirely.
Platform: |
Size: 4910 |
Author: xu |
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Description: 霍夫变换，识别图像中的正弦曲线，从而可以更好的研究图像中的曲线的形状。
Platform: |
Size: 1232 |
Author: 张玉 |
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Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Package source: sbgcop_0.95.tar.gz
MacOS X binary: sbgcop_0.95.tgz
Windows binary: sbgcop_0.95.zip
Reference manual: sbgcop.pdf
Platform: |
Size: 5273 |
Author: 陈远 |
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Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Windows binary: sbgcop_0.95.zip
Platform: |
Size: 40754 |
Author: 陈远 |
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Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Reference manual: sbgcop.pdf
Platform: |
Size: 94209 |
Author: 陈远 |
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Description: 实现编码，生成哈夫曼数 可以计算最小距离图形界面，可以点击每个叶子结点查看编码情况！-achieve coding, Huffman generate the smallest amount will be calculated from the graphical interface, can click on each leaf node View coding!
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Size: 32762 |
Author: 吴丹 |
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Description: 实现编码，生成哈夫曼数 可以计算最小距离图形界面，可以点击每个叶子结点查看编码情况！-achieve coding, Huffman generate the smallest amount will be calculated from the graphical interface, can click on each leaf node View coding!
Platform: |
Size: 32768 |
Author: 吴丹 |
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Description: Windrow-Hoff学习算法的源程序，实现ADALINE机器的自适应学习，功能用于字符识别，完全界面显示。-Windrow-Hoff learning algorithm source, the realization ADALINE machines adaptive learning, for character recognition function, the interface shows entirely.
Platform: |
Size: 5120 |
Author: xu |
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Description: 霍夫变换，识别图像中的正弦曲线，从而可以更好的研究图像中的曲线的形状。-Hough transform to identify images of sinusoidal curve, so that we can better study the image of the shape of the curve.
Platform: |
Size: 1024 |
Author: 张玉 |
Hits:
Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Package source: sbgcop_0.95.tar.gz
MacOS X binary: sbgcop_0.95.tgz
Windows binary: sbgcop_0.95.zip
Reference manual: sbgcop.pdf
Platform: |
Size: 5120 |
Author: cy |
Hits:
Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Windows binary: sbgcop_0.95.zip
Platform: |
Size: 39936 |
Author: cy |
Hits:
Description: sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
Version: 0.95
Date: 2007-03-09
Author: Peter Hoff
Maintainer: Peter Hoff <hoff at stat.washington.edu>
License: GPL Version 2 or later
URL: http://www.stat.washington.edu/hoff
CRAN checks: sbgcop results
Downloads:
Reference manual: sbgcop.pdf
Platform: |
Size: 94208 |
Author: cy |
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Description: Neural Networks at your Fingertips.rar
===============
Network: Adaline Network
===============
Application: Pattern Recognition
Classification of Digits 0-9
Author: Karsten Kutza
Date: 15.4.96
Reference: B. Widrow, M.E. Hoff
Adaptive Switching Circuits
1960 IRE WESCON Convention Record, IRE, New York, NY,
pp. 96-104, 1960
-Neural Networks at your Fingertips.rar =============== Network: Adaline Network =============== Application: Pattern Recognition Classification of Digits 0-- 9 Author: Karsten Kutza Date: 15.4.96 Reference: B. Widrow, ME Hoff Adaptive Switching Circuits 1960 IRE WESCON Convention Record, IRE, New York, NY, pp. 96-104, 1960
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Size: 269312 |
Author: wooxun |
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Description: 这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.
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Size: 1024 |
Author: 吴 |
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Description: 神经网络教程—— Performance Surfaces
—— Performance Optimization
—— Widrow-Hoff Learning-Neural Network Tutorial- Performance Surfaces - Performance Optimization - Widrow-Hoff Learning
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Size: 1292288 |
Author: Shelly Chen |
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Description: LMS由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。
-LMS Widrow of Stanford University by the United States and Hoff adaptive theory put forward in the study, because of its easy to implement and will soon be widely used as a standard adaptive filtering algorithms.
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Size: 1024 |
Author: heyan |
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Description: a simple widrow hoff implementatiion
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Size: 2048 |
Author: hadi |
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Description: The WH class is an implementation of the Widrow-Hoff.
The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the WH tries to move in the direction in which the loss is descreasing the fastest.
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Size: 48128 |
Author: kader125 |
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Description: fluent利用hoff经验公式编译动态接触角-fluent use hoff empirical formula for compiling dynamic contact angle
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Size: 2048 |
Author: jiang cunhua |
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Description: 编写了简单的Widrow-Hoff学习算法，绘制学习速率在0.01、0.1和0.5时的误差变化趋势，迭代了5000次，另外一个描绘了三种情况的分解面-It is about the Widrow-Hoff learning algorithm.The algorithm sets three different learnging rate as 0.01,0.1 and 0.5.
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Size: 1024 |
Author: jiangsanmu |
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