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gibbs，beyesian network，intelligent inference, Markov, BeliefPropagation. It is a very good surce code for intelligent reasoning research

CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori estimation of two chain Coupled Hidden Markov Models.

megahal is the conversation simulators conversing with a user in natural language. The program will exploit the fact that human beings tend to read much more meaning into what is said than is actually there MegaHAL differs from conversation simulators such as ELIZA in that it uses a Markov Model to ...

利用二元域的高斯消元法得到输入矩阵H对应的生成矩阵G，同时返回与G满足mod(G*P ,2)=0的矩阵P，其中P 表示P的转置 使用方法：[P，G]=Gaussian(H,x)，x=1 or 2,1表示G的左边为单位阵

这是一个非常简单的遗传算法源代码，代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变 ...

基于libsvm，开发的支持向量机图形界面(初级水平)应用程序，并提供了关于C和sigma的新的参数选择方法，使得SVM的使用更加简单直观.参考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。

In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is develop ...

The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been re ...

用于产生gamma分布的噪声序列，以及分析gaussian噪声的各参数。

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the so ...