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Description: VB网络编程范例，包括：WinSock控件TCP，WinSock控件UDP-VB network programming examples, including : WinSock Control TCP, UDP WinSock Control
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Size: 62464 |
Author: chen |
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Description: PCB CAD CSIEDA CAD File
PCB CAD CSIEDA CAD File-CSIEDA CAD File
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Size: 2675712 |
Author: wang |
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Description: SVM神经网络中的参数优化---如何更好的提升分类器的性能
-This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.
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Size: 245760 |
Author: tuo |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。该软件包可以在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软件可以解决C-SVM分类、 -SVM分类、 -SVM回归和 -SVM回归等问题，包括基于一对一算法的多类模式识别问题。SVM用于模式识别或回归时，SVM方法及其参数、核函数及其参数的选择，目前国际上还没有形成一个统一的模式，也就是说最优SVM算法参数选择还只能是凭借经验、实验对比、大范围的搜寻或者利用软件包提供的交互检验功能进行寻优.此文件是版本2.6的底层解析。-libsvm_src_2.6NOTE
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Size: 242688 |
Author: seeksky |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。该软件包可以在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软件可以解决C-SVM分类、 -SVM分类、 -SVM回归和 -SVM回归等问题，包括基于一对一算法的多类模式识别问题。SVM用于模式识别或回归时，SVM方法及其参数、核函数及其参数的选择，目前国际上还没有形成一个统一的模式，也就是说最优SVM算法参数选择还只能是凭借经验、实验对比、大范围的搜寻或者利用软件包提供的交互检验功能进行寻优。 -SVM toolbox
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Size: 239616 |
Author: caodi |
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Description: LibSVM 3.11 最新版
http://www.csie.ntu.edu.tw/~cjlin/libsvm-Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression.
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Size: 644096 |
Author: |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式识别问题-The LIBSVM Is Taiwan University Chih- Jen Lin (Lin Chih-Jen) Associate Professor of the development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled perform file system in the Windows series also provides source code to facilitate the improvement modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, use these default parameters can solve a lot of problems and provide cross-validation (Cross Validation) function. The package can http://www.csie.ntu.edu.tw/ ~ cjlin/free access. The software can solve the problem of the C-SVM, ν-SVM, ε-SVR and ν-SVR, including the multi-class pattern recognition problem based on a one-to-one algorithm
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Size: 671744 |
Author: 王炜豪 |
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Description: 此工具提供了一个简单的界面LIBSVM，图书馆的支持向量
的机器（http://www.csie.ntu.edu.tw/〜 cjlin/ libsvm的）。这是非常容易使用，因为
LIBSVM的使用情况和指定参数的方式是相同的。-This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.
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Size: 86016 |
Author: michael |
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Description: This an implementation of SMO type classifier[1]. The input file is "i_x.mat" which is the matrix form of ionoshpere data obtained from
https://archive.ics.uci.edu/ml/datasets.html
[1] http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf-This is an implementation of SMO type classifier[1]. The input file is "i_x.mat" which is the matrix form of ionoshpere data obtained from
https://archive.ics.uci.edu/ml/datasets.html
[1] http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf
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Size: 44032 |
Author: Soumen |
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Description: python 机器学习 svm工具包 libsvm 是台湾大学林智仁（LinChih-Jen）副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包.-Python (http://www.python.org/) is a programming language suitable for rapid
development. This tool provides a simple Python interface to LIBSVM, a library
for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). The
interface is very easy to use as the usage is the same as that of LIBSVM. The
interface is developed with the built-in Python library ctypes.
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Size: 11264 |
Author: 张聪 |
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Description: vad_directed_by_noise_classification.m
This code is an implementation of VAD algorithm proposed in:
Robust voice activity detection directed by noise classification
please cite the article in your paper:
Robust voice activity detection directed by noise classification, J Saeedi, SM Ahadi, K Faez
Signal, Image and Video Processing, 1-12
the folder is also contained the following
* different noise models for svm
* different sub_functions.
* three speech signal TIMIT dataset and their vad labels
Note that you need to download noise dataset from
http://spib.rice.edu/spib/select.
and libsvm toolbox from
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
It should be mentioned that both speech and noise should be sampled at 8 KHz.
Jamal Saeedi
Amirkabir University of Technology
Electrical Engineering Department-vad_directed_by_noise_classification.m
This code is an implementation of VAD algorithm proposed in:
Robust voice activity detection directed by noise classification
please cite the article in your paper:
Robust voice activity detection directed by noise classification, J Saeedi, SM Ahadi, K Faez
Signal, Image and Video Processing, 1-12
the folder is also contained the following
* different noise models for svm
* different sub_functions.
* three speech signal TIMIT dataset and their vad labels
Note that you need to download noise dataset from
http://spib.rice.edu/spib/select.
and libsvm toolbox from
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
It should be mentioned that both speech and noise should be sampled at 8 KHz.
Jamal Saeedi
Amirkabir University of Technology
Electrical Engineering Department
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Size: 1024 |
Author: Ilya |
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Description: Introduction
This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.
-Introduction
This tool provides a simple interface to LIBSVM, a library for support vector
machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as
the usage and the way of specifying parameters are the same as that of LIBSVM.
Platform: |
Size: 4096 |
Author: carl2380 |
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