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Description: 本文是一篇名为“基于SVM的石油勘探算法研究”的硕士论文，文中应用MATLAB进行算法实现，给出了详细的设计思路，各种不同方法的图像对比，区县调整，是一片相当不错的文章。-This is the one entitled "SVM Based Algorithm for oil exploration," the master's thesis, text MATLAB algorithm is given a detailed design ideas, different methods of image contrast. county adjustment is a pretty good article.
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Size: 737677 |
Author: lijianjun |
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Description: 支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine (SVM), a classification algorithm source code [Matlab]
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Size: 2109 |
Author: dyddong |
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Description: 一种很容易理解的svm matlab工具箱，可用于分类，回归，并附很多示例。
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Size: 341739 |
Author: 徐杰 |
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Description: 一种很容易理解的svm matlab工具箱,可用于分类，回归，并附有很多示例。
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Size: 4064459 |
Author: 徐杰 |
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Description: SVM matlab GUI可视化界面 直观形象
代码解释比较详细 对GUI学习和svm学习都有帮助
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Size: 497388 |
Author: 刘向阳 |
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Description: 支持向量机(SVM)实现的分类算法源码[matlab]
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Size: 2229 |
Author: vipyoyo |
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Description: svm matlab toolbox（SVM的MATLAB工具箱）
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Size: 126070 |
Author: vivi |
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Description: 模式识别matlab工具箱,包括svm,ICA,PCA,NN等等模式识别算法
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Size: 630776 |
Author: haoren313 |
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Description: 人工智能实验课程，SVM用MATLAB实现的，很简单
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Size: 2151 |
Author: lovelian2010 |
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Description: svm matlab实现
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Size: 622308 |
Author: timcarter@163.com |
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Description: 最小二乘支撑向量机matlab版-least squares Support Vector Machine Matlab version
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Size: 253952 |
Author: 张小洪 |
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Description: 不错的SVM实现算法，采用的是LS-SVM算法，这是MATLAB版本，还有一个C版本-good SVM algorithm, using the LS-SVM, which is MATLAB version, a C version
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Size: 192512 |
Author: hello |
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Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
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Size: 172032 |
Author: 金星 |
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Description: matlab实现，附带数据，并有显示结果图的功能，很方便用的-It s implemented using matlab with data as attachment. It also has the function of showing the result and is very convenient to use.
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Size: 111616 |
Author: 赵银娣 |
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Description: SVM在MATLAB下的实现,其中有五个文件夹，分别是不同的SVM-SVM writen by matlab,include five files,and diffent each other
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Size: 1562624 |
Author: zc |
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Description: 数据挖掘中SVM算法实现（用MATLAB实现）-SVM data mining algorithm (MATLAB)
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Size: 2048 |
Author: 方巍巍 |
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Description: 人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
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Size: 67584 |
Author: rabo |
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Description: This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.-This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
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Size: 153600 |
Author: 孙荣超 |
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Description: 支持向量机方法，用matlab实现，用于分类检测、模式识别，人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection
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Size: 2048 |
Author: 韩乐 |
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Description: 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can greatly improve the robustness. In the actual process, readers can quickly grasp relevant knowledge and use this method by downloading the code I uploaded, simply modifying and reading the attached paper.)
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Size: 5505024 |
Author: ddyecust@163.com |
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