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svm python
- Put simply, SVMpython is SVMstruct, except that all of the C API functions that the user normally has to implement (except those dealing with C specific problems) instead call a function of the same name in a Python module. You can write an SVMstruct
gridregression
- SVM回归中用的gridregression.py函数，用它来进行参数寻优，做了一些改动适用于windows。-SVM regression using the gridregression.py function, use it to carry out parameter optimization, has done some changes to apply to windows.
PCA-SVM
- 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures.
Python-2
- 这是支持向量机的程序。也是关于svm的，可以很好的学习支持向量机-This is a support vector machine procedure. Is also about the SVM can be good learning support vector machines
python
- Python编写的SVM算法，SVM算法的实现，适合直接使用，开放源代码，Supported Vector Machine。-Python code SVM algorithm，SVM algorithm realizition，easy to use，open source，Supported Vector Machine。
svm
- python，svm支持向量机例子。里面有文档和源码。-python, svm support vector machine example. There are documents and source code.
svm
- 用Python写的关于SVM算法的人脸识别小程序(Written in Python on the SVM algorithm for face recognition applet)
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
SVM
- 用svm算法实现手写识别,核函数使用径向基核函数(Handwritten recognition using SVM algorithm)
06-svmMLiA
- 采用SVM算法，用python语言实现的分类识别，可用于异常检测等二分类(Using SVM algorithm, using python language to achieve the classification of identification, can be used for abnormal detection and other two categories)
14.SVM代码
- python 实现了支持向量机，简单好用(support vector machine a kind of classification algorithm, realize in python)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
python+图像处理+svm
- python+图像处理+svm的验证码自动识别代码(python is good language)
face-SVM
- 用PCA和SVM实现人脸识别，是经典的人脸识别Python代码(Face recognition using PCA and SVM)
svm
- 使用smo算法实现了支持向量机的python代码(complete the svm mode and Sequential minimal optimization with python code)
test1
- SVM-无监督机器学习领域的经典算法，在神经网络未出现前，他是机器学习的顶梁柱，现在依然用处广泛，而且其核函数的使用范围早已超脱其本身，该实例对SVM算法进行了实现，具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning,
digit_recognizer[1]
- python SVM(支持向量机)实现手写数字识别(SVM realization of digital recognition)
svm-master
- support vector machine using python
SVM
- 数据挖掘常用算法 支持向量机的简单实例,使用该方法来进行数据分类(SVM code example)
sklearn-SVM
- 支持向量机(SVM)——分类预测，包括核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等(Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipelin