一个简单的fisher分类器代码,并含有实验用的两个数据集合.

矩阵计算库，经改编过的，可以扩充，可读性很好。-matrix calculation library, adapted too, can be expanded, good readability.

为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.

遗传算法（C++版），非常好的！-genetic algorithm (C version), very good!

神经网络C程序的第3章-neural network C procedures for the Chapter 3

用于分类的一个工具箱，内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码，还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.

是实现关系型贝叶斯网络一中机器学习算法，从国外相关研究人员的主页上下载收集。

Boltzmann Machine Optimization 人工智能人工神经网络源码-Boltzmann Machine Optimization of artificial neural network artificial intelligence source

小波十讲(中文版),这是个很好的讲义，希望对你有帮助-Ten Lectures on Wavelets (Chinese version), which is a very good lecture notes, want to help you