隐马尔科夫模型工具箱最新版本，可以广泛应用于识别等领域...

用vc实现Apriori算法的全部功能．请大家尽情心使用！-the algorithm can be used vc Apriori algorithm to achieve the full. Please rest assured use! -Apriori algorithm by vc realize the full functionality. Please use your heart!-the algorithm can be used vc Apriori algorithm to achieve the full. Please rest assured use!

pre-fixSpan算法，该算法是C++语言实现的，主要用模板实现prefixspan的投影数据库架构及模式生长功能

hough变换的代码，这个变换可以原来检测直线或圆等图形。-Hough Transform code, can transform the original circular or linear detection, such as graphics.

一个非常不错的BP算法程序，这是一个名为bp.m的文件，对于理解BP算法会很有帮助。-The BP algorithm is a very good program, it is a named bp.m file would be helpful for understanding the BP algorithm.

ArcObject的空间查询代码，比较简单和初步的供大家一起学习-The spatial query ArcObject code is relatively simple and everyone together for a preliminary study

卡尔曼滤波模拟器

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

use swarm intelligence to simulate network routings in omnet-use swarm intelligence to simulate networ k routings in omnet

weka 的决策树的实现,对数据挖掘感兴趣的可以下哦,很好的呀-if you like Dataming

maltab 的一个遗传算法的例子,比较全,有教你怎么初始化初始种群,设定参数,还有demo提供学习-A genetic algorithm using maltab gentitc toolbox ,abundant in content.Whats s more, you are teached how to initialize the initial population, set parameters. It also provide learning demos.