libsvm tutorial

http://download.csdn.net/my here can download support Vector machine Toolbox, I maltab r2012b and 3.1 matching use, others do not, we look at the tutorial after the problem, if this article does not mention, first search errors, if not explicitly

SVM Toolbox Quick Start Easy Tutorial (by Faruto)Matlab with the function (Matlab Help file in the example) [only newer version of the MATLAB in the two SVM function]=====Svmtrain svmclassify===== Brief grammar Rules = =SvmtrainTrain Support Vector

From: http://www.shen-wei.cn/shenwei/Class.asp? Id = 30   · WEKA Learning Experience Summary 3 (WEKA development-import WEKA package)WEKA Learning Experience Summary 3 (WEKA development-import WEKA package)... [view full text] · WEKA Learning

Respecting originality ~ ~ ~Reprint Source: http://www.matlabsky.com/thread-12411-1-1.htmlA brief introduction to cross-validation (Validation) method ideasHttp://www.matlabsky.com/forum-v ...-fromuid-18677.htmlThe following excerpt from the MATLAB

Today, a sudden whim, just to use the sidekit, simply put the previous clean up the bar ——— –Note: Sidekit does not support Python2 now. X, here's the python3.5 version.If you do not have a python3 environment, or a version of the Python2 that was

PrefaceThe Machine learning section records Some of the notes I have learned in the process of learning, including the online course or tutorial's study notes, the reading notes of the papers, the debugging of algorithmic code, the thinking of

Naive Bayes:Here are a few places to note:1. If the given eigenvector length may be different, this is the need to normalized to the length of the vector (here is the text classification for example), such as sentence words, the length is the length

The ROC (Receiver Operating characteristic) curve and AUC are often used to evaluate the merits and demerits of a binary classifier (binary classifier). This article will start with a brief introduction of ROC and AUC, and then use an example to

reference:http://qxde01.blog.163.com/blog/static/67335744201368101922991/Python in the field of scientific computing, there are two important extension modules: NumPy and scipy. Where NumPy is a scientific computing package implemented in Python.

In the field of scientific computing, Python has two important extension modules:numpy and Scipy. Where NumPy is a scientific computing package implemented in Python. Include: A powerful n-dimensional array object ; A relatively