svm training example from svm.org

优化算法算例,其中有优化算法的相关例子，供学习使用-Optimization examples, including relevant examples of optimization algorithm for learning to use

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

经典的数据关联挖掘算法prefixspan-Classical data association mining algorithm PrefixSpan

Fuzzy Rule Base Implementation

< 神经网络设计源代码>>一书的源代码。-err

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem

BP神经网络的基本算法. 基于对话框-BP neural network algorithm. Based on the dialog box

人工神经网络，利用matlab工具箱算法-Artificial neural network using matlab toolbox algorithm

遗传算法类文件生成，同系学长的作品，由于一个专业所以课题也十分类似-genetic algorithm types of documents generated, with the seniority system works, as a professional so very similar topic