Description: 该压缩包包括以下内容：Java SMTP协议电子邮件传送剖析，Java语言实现对网络服务器搜索，JCOMToACAD，用JAVA 实现P2P网络通信，投稿文章，基于URL的Web服务器数据访问，Matlab环境下Socket网络功能的实现，ImageProcess等八个源程序-the compressed include the following : Java SMTP E-mail analysis Java language for network servers search JCOMToACAD. JAVA using peer-to-peer network communication, writing articles, based on the URL of the Web server data access, Matlab environment Socket networking capabilities to achieve eight source ImageProcess Platform: |
Size: 545037 |
Author:尹志远 |
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Description: 该压缩包包括以下内容：Java SMTP协议电子邮件传送剖析，Java语言实现对网络服务器搜索，JCOMToACAD，用JAVA 实现P2P网络通信，投稿文章，基于URL的Web服务器数据访问，Matlab环境下Socket网络功能的实现，ImageProcess等八个源程序-the compressed include the following : Java SMTP E-mail analysis Java language for network servers search JCOMToACAD. JAVA using peer-to-peer network communication, writing articles, based on the URL of the Web server data access, Matlab environment Socket networking capabilities to achieve eight source ImageProcess Platform: |
Size: 544768 |
Author:尹志远 |
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Description: 应用web和matlab的信号与系统基础
?τ脀eb和matlab的信号与系统基础-Application of web and matlab signal and system based on? Τ脀eb and matlab basis of Signals and Systems Platform: |
Size: 7821312 |
Author: |
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Description: 基于WEB与MATLAB编写的信号处理的源码,书名为"应用WEB和MATLAB的信号与系统基础.-WEB prepared with the MATLAB-based signal processing of the source code, entitled Platform: |
Size: 54272 |
Author:南伟 |
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Description: 再为这么好的网站尽一小小份力，依然是基于ASP.NET平台的一些WEB应用，第三个，是自己男友写的，供大家参考，希望有用，另跪求MATLAB编写的求解偏微分抛物型方程的紧致差分格式源码，不胜感激-Longer such a good site to do a little report, and still is based on the ASP.NET platform for a number of WEB applications, and the third is written by their own boyfriend, for your information, I hope useful, while others prepared跪求MATLAB Solving parabolic partial differential equations of compact difference format source, be grateful Platform: |
Size: 212992 |
Author:白文静 |
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Description: 這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。-This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package. Platform: |
Size: 523264 |
Author:Rong |
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Description: This package contains a MATLAB implementation of the cluster
visualization tool CLUSION as described in
A. Strehl and J. Ghosh, "Relationship-based Clustering and
Visualization for High-dimensional Data Mining", Special
Issue on Mining Web-based Data for E-Business Applications
of the INFORMS Journal on Computing, 2002-This package contains a MATLAB implementation of the cluster
visualization tool CLUSION as described in
A. Strehl and J. Ghosh, "Relationship-based Clustering and
Visualization for High-dimensional Data Mining", Special
Issue on Mining Web-based Data for E-Business Applications
of the INFORMS Journal on Computing, 2002 Platform: |
Size: 216064 |
Author:thirtyfive |
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Description: 研究论文基于WEB环境与MATLAB技术的图像检索系统的实现-Research papers based on WEB technology, environment and MATLAB Image Retrieval System Platform: |
Size: 240640 |
Author:李磊 |
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Description: NumericalMethods in Engineering withMATLAB® is a text for engineering
students and a reference for practicing engineers, especially those
who wish to explore the power and efficiency of MATLAB. The choice of
numerical methods was based on their relevance to engineering problems.
Every method is discussed thoroughly and illustrated with problems
involving both hand computation and programming. MATLAB
M-files accompany each method and are available on the book web
site. This code is made simple and easy to understand by avoiding complex
book-keeping schemes, while maintaining the essential features of
the method. MATLAB, was chosen as the example language because of
its ubiquitous use in engineering studies and practice. Moreover, it is
widely available to students on school networks and through inexpensive
educational versions.MATLAB a popular tool for teaching scientific
computation.-NumericalMethods in Engineering withMATLAB® is a text for engineering
students and a reference for practicing engineers, especially those
who wish to explore the power and efficiency of MATLAB. The choice of
numerical methods was based on their relevance to engineering problems.
Every method is discussed thoroughly and illustrated with problems
involving both hand computation and programming. MATLAB
M-files accompany each method and are available on the book web
site. This code is made simple and easy to understand by avoiding complex
book-keeping schemes, while maintaining the essential features of
the method. MATLAB, was chosen as the example language because of
its ubiquitous use in engineering studies and practice. Moreover, it is
widely available to students on school networks and through inexpensive
educational versions.MATLAB a popular tool for teaching scientific
computation. Platform: |
Size: 2818048 |
Author:ilhem |
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Description: 康奈尔大学开发的基于matlab的有限元计算程序，感兴趣的可以看看，有gui 界面，相关的教程可以登录下面的网站https://confluence.cornell.edu/display/SIMULATION/MATLAB+Learning+Modules-Matlab-based Cornell University developed the finite element program, interested can see, there are gui interface, related tutorials can log the following Web site https:// confluence.cornell.edu/display/SIMULATION/MATLAB+ Learning+ Modules Platform: |
Size: 4682752 |
Author:xiangyunl |
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Description: The Motor Virtual Experimental System Based on Matlab Web Technology By Shoucheng Ding, Wenhui Li, Shizhou Yang, Jianhai Li, Wanqiang Lu Platform: |
Size: 296960 |
Author:tq |
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Description: 基于matlab web sever通信仿真学习系统-Communication simulation learning system based on matlab web sever Platform: |
Size: 10576896 |
Author:aya |
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Description: 工程中的数值算法-使用Matlab,包括曲线拟合，积分，差分，线性方程组，边界问题，矩阵等matlab方法，供参考-NumericalMethods in Engineering withMATLAB® is a text for engineering
students and a reference for practicing engineers, especially those
who wish to explore the power and efficiency of MATLAB. The choice of
numerical methods was based on their relevance to engineering problems.
Every method is discussed thoroughly and illustrated with problems
involving both hand computation and programming. MATLAB
M-files accompany each method and are available on the book web
site. This code is made simple and easy to understand by avoiding complex
book-keeping schemes, while maintaining the essential features of
the method. MATLAB, was chosen as the example language because of
its ubiquitous use in engineering studies and practice. Moreover, it is
widely available to students on school networks and through inexpensive
educational versions.MATLAB a popular tool for teaching scientific
computation. Platform: |
Size: 2817024 |
Author:宁静的冬天 |
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Description: NumericalMethods inEngineeringwithMATLAB®
is a text for engineer-ing students and a reference for practicing engineers, especially those
whowish to explore the power and efficiency of MATLAB. The choice of
numerical methods was based on their relevance to engineering prob-lems. Every method is discussed thoroughly and illustrated with prob-lems involving both hand computation and programming. MATLAB
M-files accompany each method and are available on the book web
site. This code ismade simple and easy to understand by avoiding com-plex book-keeping schemes, while maintaining the essential features of
the method. MATLAB, was chosen as the example language because of
its ubiquitous use in engineering studies and practice. Moreover, it is
widely available to students on school networks and through inexpen-sive educational versions.MATLABa popular tool for teaching scientific
computation Platform: |
Size: 2819072 |
Author:luchomini |
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Description: 实现了基于matlab web server的虚拟试验平台的程序，实现了部分信号与系统的验证性试验-Implementation of virtual experimental platform of Matlab Web based on server program, realized the confirmatory test signals and systems Part Platform: |
Size: 17408 |
Author:wanglixia |
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Description: ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen
instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of
these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, maximum a posteriori (MAP) principle
is utilized to determine the label set for the unseen instance. Experiments on three different real-world multi-label learning problems, i.e. Yeast
gene functional analysis, natural scene classification and automatic web page categorization, show that ML-KNN achieves superior performance
to some well-established multi-label learning algorithms.
2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.) Platform: |
Size: 5120 |
Author:玖
|
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Description: 随着科学技术的飞速发展，机器学习与人工智能技术的不断创新，人们对特定信息检索的需求逐渐增加，使得如何对资源进行合理有效的分类成为一个关键问题。近几年来，基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面，大多采用有监督学习方法，通过对底层特征建模和中间语义分析来实现分类。
本文基于Libsvm的图像分类研究及实现，主要针对的是物体分类这一方面，选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本（主要从Web上获取）、图像预处理（如截成大小一致的图片）、特征向量提取、结合Libsvm进行模型训练、对测试图片进行分类测试。(With the rapid development of science and technology, the continuous innovation of machine learning and artificial intelligence technology, the demand of people for specific information retrieval increases gradually, and how to classify resources reasonably and efficiently becomes a key issue.
This article based on Libsvm image classification research and implementation, mainly for the object classification on the one hand, the selection of five types of fruit as the classification of the object of study. The general steps of image classification include collecting image samples (mainly obtained from the Web), image preprocessing (such as cutting the same size of the image), feature vector extraction, combined with Libsvm model training, the test images were classified test.) Platform: |
Size: 1024 |
Author:安安*
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Search - web based matlab