搜索资源列表
20_148_2
- svm使用演示，由澳大利亚支持向量机爱好者开发 供数据挖掘研究用-svm use demonstration by the Australian SVM enthusiasts for the development of data mining research
基于分层结构的网络入侵检测模型的研究与实现
- 学术论文-theses <based on support vector machines Intrusion Detection System>
林教授的支持向量机工具包libsvm-2.88
- 台湾林智仁教授的libsvm源代码，libsvm-2.88。
LS_SVMlab
- 最基本的最小二支持向量机算法程序 比较完整，比较经典-lssvm
Vsvmdll
- 支持向量机学习算法，是非常有用的支持
libsvm-2.9.tar
- 代码是实现支持向量机的分类功能，主要提供给研究者使用，把支持向量当做一个工具，而不用自己进行支持向量机的原理研究和编码。代码是Linux下的版本，语言是C/C++。-The code is to achieve support vector machine classification, mainly for researchers to use, the support vector as a tool, rather than themselves Principles Study on S
111122224444
- 基于支持向量机的垃圾邮件过滤器的设计与实现-spam-filtering
semi-surpervised_learing
- 对传统的支持向量机分类器的改进,利用了半监督学习的方法，可以极大的提高分类效率。-The traditional support vector machine classifiers is improved with a semi-supervised learning methods, can greatly improve classification efficiency.
ConjugateGradient
- 共轭梯度法的经典之作,在支持向量机凸规划中经常用到。-Conjugate gradient method of classic convex programming in support vector machines are often used.
levmar-2.4
- unix下开发的多分类支持向量机的源程序，程序应用很灵活，编译后即可使用。-unix developed under the multi-class Support Vector Machine source, the program application is very flexible and can be used after compilation.
SVM_GUI_3
- 支持向量机的工具箱函数源代码，可以改进用于函数拟合、分类等-Support Vector Machine Toolbox function source code can be improved for function approximation, classification, etc.
MATLA_xiangliang_B_X_L_P
- 基于MATLAB支持向量机实验模型研究与设计 支持向量机作为一种优秀的学习方法，它具有理论完备、适应性强、全局优化、训练时间短、泛化性能好等优点，已成为当前国际机器学习界的研究热点，有着很好的应用前景。-MATLAB-based support vector machine experimental model of research and design support vector machine as an excellent way to learn, it has the adva
svmpredict
- 支持向量机1111的matlab版，内容不错较为新颖 有很强的实用价值-Matlab version, support vector machine 1111 more novel has a strong practical value
HMM_SVM
- 用matlab实现的基于马尔科夫模型和支持向量机的人脸识别系统。非原创，运行了效果很好，功能很强大。具体功能：可根据训练与测试样本生成数据库；计算人脸识别率（96.5 ）；可以识别出指定的图像；可以识别摄像头获取的人脸图像。-Matlab based on markov model and support vector machine (SVM) face recognition system. The original, run the effect is very good, the fun
0.5PP0.5S
- 基于支持向量机的图像分割，以libsvm3.1工具箱为基础，用不同核函数的混合来实现图像分割，自己编的代码，并以成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, their compiled code to run successfully
GS
- 基于支持向量机的图像分割，以libsvm3.1工具箱为基础，用不同核函数的混合来实现图像分割，自己编的代码，并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, their compiled code to run successfully
PG
- 基于支持向量机的图像分割，以libsvm3.1工具箱为基础，用不同核函数的混合来实现图像分割，自己编的代码，并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, compiled code, and has been successfully
PS
- 基于支持向量机的图像分割，以libsvm3.1工具箱为基础，用不同核函数的混合来实现图像分割，自己编的代码，并已成功运行-Based image segmentation based on support vector machine libsvm3.1 toolbox, with a mix of different kernel functions to achieve image segmentation, compiled code, and has been successfully
svc-2
- 支持向量机的回归拟合——混凝土抗压强度预测-Support vector machine regression- concrete compressive strength prediction
SVM+GUI+V3.1[mcode]
- 基于多类的支持向量机SVM的算法简单介绍(Based on multiclass support vector machines, SVM algorithm is introduced briefly)